\n\n\n\nWHAT YOU'LL DO\n\n\n* Create, maintain electrical system test strategy, and test plans for various UAV and Ground Control products.\n\n* Conduct electrical compliance and robustness testing such as MIL-STD-704 and MIL-STD-461.\n\n* Design and deploy electrical system integration test benches. (Iron Bird/Copper Bird/Lab Car).\n\n* Support on vehicle level to component level test requirement decomposition.\n\n* Analyze and drive coverage and analysis of failures observed in integration and system level testing.\n\n* Integration testing of electrical subsystems and functionality.\n\n* Leverage data analysis and existing tools to reproduce and characterize failures.\n\n* Develop and maintain test standards, design, and develop test equipment or procuring and handling purchased test capital equipment to support test readiness. \n\n* Support environmental reliability testing (HALT/HASS) efforts on PCBA and LRU level.\n\n* Support validation of automated test systems. \n\n\n\nREQUIRED QUALIFICATIONS\n\n\n* Bachelor’s degree in Electrical/Electronics, Computer, Mechanical Engineering, or related fields\n\n* 5+ years of relevant industry experience with emphasis on hardware validation and integration testing\n\n* Familiarity with hardware development life cycle, reliability, and compliance testing\n\n* General understanding of engineering concepts, principles, and theory with technical experience demonstrating the application of those concepts while ensuring safety and regulatory compliance\n\n* Familiarity with Python and/or MATLAB for data parsing and data visualization\n\n* Familiarity with electronics test equipment such as power supplies, electronic loads, oscilloscope, function generators, data acquisition and measurement sensors\n\n* Familiarity with environmental testing such as MIL-STD-704 and MIL-STD-461\n\n* Strong root cause analysis skills\n\n* Excellent written, verbal, interpersonal and communication skills\n\n* Ability to travel to and work at remote sites supporting test integration, commissioning and training as required\n\n* Must be able to obtain and hold a U.S. Top Secret security clearance\n\n\n\nPREFERRED QUALIFICATIONS\n\n\n* 10+ years of relevant industry experience\n\n* Pursuing a Master’s of Science or PHD in Electrical Engineering, Electronics Engineering Mechanical Engineering, Computer Science or related field\n\n* Experience with firmware integration, vehicle level validation and debugging\n\n* Demonstrated knowledge of regulatory compliance standards\n\n\n\n\n \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Python, Testing, Travel, Senior and Engineer jobs that are similar:\n\n $60,000 — $110,000/year\n
\n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
\n\n#Location\nCosta Mesa, California, United States

\nWe currently seeking a Senior Data Engineer with 5-7 years’ experience. The ideal candidate would have the ability to work independently within an AGILE working environment and have experience working with cloud infrastructure leveraging tools such as Apache Airflow, Databricks, DBT and Snowflake. A familiarity with real-time data processing and AI implementation is advantageous.  \n\n\n\nResponsibilities:\n* Design, build, and maintain scalable and robust data pipelines to support analytics and machine learning models, ensuring high data quality and reliability for both batch & real-time use cases.\n* Design, maintain, optimize data models and data structures in tooling such as Snowflake and Databricks. \n* Leverage Databricks for big data processing, ensuring efficient management of Spark jobs and seamless integration with other data services.\n* Utilize PySpark and/or Ray to build and scale distributed computing tasks, enhancing the performance of machine learning model training and inference processes.\n* Monitor, troubleshoot, and resolve issues within data pipelines and infrastructure, implementing best practices for data engineering and continuous improvement.\n* Diagrammatically document data engineering workflows. \n* Collaborate with other Data Engineers, Product Owners, Software Developers and Machine Learning Engineers to implement new product features by understanding their needs and delivery timeously. \n\n\n\nQualifications:\n* Minimum of 3 years experience deploying enterprise level scalable data engineering solutions.\n* Strong examples of independently developed data pipelines end-to-end, from problem formulation, raw data, to implementation, optimization, and result.\n* Proven track record of building and managing scalable cloud-based infrastructure on AWS (incl. S3, Dynamo DB, EMR). \n* Proven track record of implementing and managing of AI model lifecycle in a production environment.\n* Experience using Apache Airflow (or equivalent) , Snowflake, Lucene-based search engines.\n* Experience with Databricks (Delta format, Unity Catalog).\n* Advanced SQL and Python knowledge with associated coding experience.\n* Strong Experience with DevOps practices for continuous integration and continuous delivery (CI/CD).\n* Experience wrangling structured & unstructured file formats (Parquet, CSV, JSON).\n* Understanding and implementation of best practices within ETL end ELT processes.\n* Data Quality best practice implementation using Great Expectations.\n* Real-time data processing experience using Apache Kafka Experience (or equivalent) will be advantageous.\n* Work independently with minimal supervision.\n* Takes initiative and is action-focused.\n* Mentor and share knowledge with junior team members.\n* Collaborative with a strong ability to work in cross-functional teams.\n* Excellent communication skills with the ability to communicate with stakeholders across varying interest groups.\n* Fluency in spoken and written English.\n\n\n\n\n\n#LI-RT9\n\n\nEdelman Data & Intelligence (DXI) is a global, multidisciplinary research, analytics and data consultancy with a distinctly human mission.\n\n\nWe use data and intelligence to help businesses and organizations build trusting relationships with people: making communications more authentic, engagement more exciting and connections more meaningful.\n\n\nDXI brings together and integrates the necessary people-based PR, communications, social, research and exogenous data, as well as the technology infrastructure to create, collect, store and manage first-party data and identity resolution. DXI is comprised of over 350 research specialists, business scientists, data engineers, behavioral and machine-learning experts, and data strategy consultants based in 15 markets around the world.\n\n\nTo learn more, visit: https://www.edelmandxi.com \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Python, DevOps, Cloud, Senior, Junior and Engineer jobs that are similar:\n\n $60,000 — $110,000/year\n
\n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n

\nAirDNA began with a big dream in a balmy California garage in 2015. Since then, the technology startup has grown into the leading provider of data and business intelligence for the billion-dollar travel and vacation rental industry—with offices in Denver and Barcelona. \n\n\nOur self-serve platform eliminates guesswork and equips Airbnb hosts with smart and competitive insights needed to succeed in the ever-evolving short-term rental landscape. \n\n\nWe also arm enterprise clients with customized reports and in-depth dashboards to ensure they can scale and invest strategically. These customers include hundreds of top financial institutions, real estate companies, vacation rental managers, and destination marketing organizations around the world. \n\n\nWe track the daily performance of over 10 million Airbnb and Vrbo properties across 120,000 global markets. We also collect data from over a million partner properties. This marriage of scraped and source data, enhanced by our proprietary algorithms, makes our solutions the most accurate and comprehensive in the world. \n\n\nWe’re firm believers that data isn’t the destination; it’s the starting point. The launchpad. The bedrock for any future-forward business.\n\n\nThe AirDNA Team\nAt AirDNA, we’re a team of data nerds on a mission to empower our customers to smartly grow their businesses. And we're looking for people with a broad range of experiences and perspectives, who are excited by our mission, values, and drive to change the short-term rental market. In short: Life is never boring here. And we genuinely live and breathe our company values: Happy, Hungry and Honest. People who are ready to exemplify these values are especially encouraged to apply. We invite you to apply even if you are unsure about whether you meet every single requirement in this posting. We carefully consider every application, not just those that check off all the boxes.\n\n\nThe Role\nAirDNA is looking for a Senior Data Engineer to help us build a solid and scalable data infrastructure and analytical environment. The ideal candidate enjoys data wrangling, optimizing data pipelines, and building solutions for data collections and analysis in parallelized and scaled out environments. The AirDNA infrastructure currently processes billions of data points and hosts databases well into terabyte-size ranges, making this an interesting and challenging opportunity.\n\n\n\nHere's what you'll get to do\n* Build and extend data pipelines, written in Scala and running on Spark\n* Tune Spark job performance \n* Write clean, performant Scala code\n* Work closely with our Product, Data Science and other Engineering teams to craft new products\n* Contribute to Python and Scala-based microservices running on kubernetes\n\n\n\nHere's what you'll need to be successful\n* 5 or more years of experience in a Data Engineer role\n* BS/BA in Computer Science\n* Experience developing cloud based pipelines\n* Strong experience with Spark\n* Experience with Scala, and exposure to Python\n* Experience with developing and deploying cloud-based data solutions\n* Experience in any of the following is considered to be an asset: streaming technology such as Kafka or Google Pub/Sub, Databricks, AWS / GCP, Postgres, Protobuf, Snowflake or other Data Warehousing solutions, and Test Driven Development \n* Ability to operate with strong ownership and independence\n\n\n\nTech stack\n* Scala\n* Python\n* Spark\n* Databricks\n* AWS EMR, Athena, RDS (Postgres), Redshift, and S3\n\n\n\nJob perks\n* Competitive cash compensation and benefits,  the salary range for this position is €100,000 - €120,000 per year. \n* Eligible for Company’s annual discretionary bonus program\n* 36 holidays per year\n* Continuing education stipend\n* Talented international team and a vibrant work environment\n* Bottom-up management: we listen to your ideas and implement them\n* Team building events\n* Dog friendly office!\n\n\n\n\n\nAirDNA seeks to attract the best-qualified candidates who support the mission, vision and values of the company and those who respect and promote excellence through diversity. We are committed to providing equal employment opportunities (EEO) to all employees and applicants without regard to race, color, creed, religion, sex, age, national origin, citizenship, sexual orientation, gender identity and expression, physical or mental disability, marital, familial or parental status, genetic information, military status, veteran status or any other legally protected classification. The company complies with all applicable state and local laws governing nondiscrimination in employment and prohibits unlawful harassment based on any of the aforementioned protected classes at every location in which the company operates. This applies to all terms, conditions and privileges of employment including but not limited to: hiring, assessments, probation, placement, benefits, promotion, demotion, termination, layoff, recall, transfer, leave of absence, compensation, training and development, social and recreational programs, education assistance and retirement. \n\n\nWe are committed to making our application process and workplace accessible for individuals with disabilities. Upon request, AirDNA will reasonably accommodate applicants so they can participate in the application process unless doing so would create an undue hardship to AirDNA or a threat to these individuals, others in the workplace or the company as a whole. To request accommodation, please email [email protected]. Please allow for 24 hours to process your request. \n\n\nBy applying for the above position, you will confirm that you have reviewed and agreed to our Data Privacy Notice for Applicants. \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Python, Travel, Education, Cloud, Senior, Marketing and Engineer jobs that are similar:\n\n $70,000 — $110,000/year\n
\n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
\n\n#Location\nEU

Who You Are\n\nWe are looking for a driven Software Engineer (MLOps) to be a part of our growing AI Platform team. You are bold and creative, and have deep empathy for customers who may not be tech-savvy. You will design and implement significant parts of the code base and will have the opportunity to make an immediate impact with your work and guide the product and team as we grow.\n\nYou are curious and like to understand technologies and their tradeoffs in depth - providing technical guidance to the team and peers as and when required. Leading by example, you have accumulated a wealth of insights and experiences from your hands-on involvement in the field, and you are committed to rolling up your sleeves and getting work done. You like joining and supporting other engineers in their work to learn from them as well as letting them benefit from your expertise and experience.\n\nYou have the motivation and skills to identify technical product needs, initiate projects and owning their delivery, including the involvement of engineering peers as needed. You are comfortable with challenging the status quo respectfully to drive and deliver technical excellence in the team.\n\n**We are seeking a team member located within one of the following areas: USA/Canada/UK\nResponsibilities\n\nThe AI Platform team you are joining is responsible for building the core platform that powers model training, inference and decision making in our products. Furthermore the team owns MLOps and the services hosting our AI capabilities. Productionizing results from Research, as well as extending our systems and providing support according to our customer needs fall into team responsibilities as well. You will join this team as an experienced engineer with a focus on MLOps solutions to grow our expertise in that area, but also contribute as a software engineer more widely in the team.\n\nAs an organization, we strongly believe in expertise across the stack. As such, you will experience flavors of Machine Learning, Software Engineering, Distributed Systems, MLOps and DevOps.\n\nIn particular, you will:\n\n\n* Design, build and lead the MLOps initiatives and vision for the AI Platform to strengthen automation, orchestration, versioning, observability, monitoring and collaboration for the platform.\n\n* Build and design scalable components for the AI Platform to allow high throughput training and inference for RL agents doing realtime inference for autonomous control of industrial systems.\n\n* Contribute to the design and implementation of the product backend by writing REST & gRPC API services and scalable event-driven backend applications.\n\n* Design clear, extensible software interfaces for the team's customers and maintain a high release quality bar.\n\n* Design and optimize data storage & retrieval mechanisms for high throughput, security & ease of access.\n\n* Perform DevOps duties of CI/CD, Release & Deployment management.\n\n* Be a part of our global production oncall team and, own & operate your services in production, meeting Phaidra’s high bar for operational excellence.\n\n* Lead cross-functional initiatives collaborating with engineers, product managers and TPM across teams.\n\n* Mentor your peers and be a technical role-model in the team.\n\n\n\nOnboarding\n\nIn your first 30 days…\n\n\n* You will be immersed in an onboarding program that introduces you to Phaidra and our product.\n\n* You will spend time in the Engineering org, learning how the teams operate, interact, and approach problems.\n\n* You will read various parts of our handbook and familiarize yourself with the documentation culture at Phaidra.\n\n* You will set up your development environment and start working on an onboarding exercise that will introduce you to various parts of our code base.\n\n* You will learn about how we use agile and be able to navigate our sprint boards and backlogs.\n\n* You will learn about various team standards and development & release processes.\n\n* You will start to learn about our system architecture and infrastructure.\n\n* You will start picking up few good “first-tasks” to get yourself accustomed to the end to end release flow.\n\n\n\n\nIn your first 60 days…\n\n\n* You will get a solid understanding of what Phaidra does and how we do it.\n\n* You will meet with team members across Phaidra and started building relationships that will help you be successful at your job.\n\n* You will complete the onboarding exercise and will be on your way to completing your first production task.\n\n* You will take ownership for the MLOps work on the team, identify gaps and propose roadmap items on the topic.\n\n\n\n\nIn your first 90 days…\n\n\n* You will be fully integrated in the team and with team members across the company.\n\n* You will have a more in-depth understanding of our system architecture and infrastructure.\n\n* You will complete your first on-call experience helping monitor and improve our production environments.\n\n* You will become an expert with our tooling.\n\n* You will start to contribute to knowledge sharing throughout Phaidra and the team.\n\n* You will take proactively drive MLOps topics in the team and represent it technically throughout the company.\n\n\n\nKey Qualifications\n\n\n* 7+ years of work experience.\n\n* Bachelors or Masters in Computer Science, or equivalent experience.\n\n* Strong experience on designing and implementing MLOps solutions for AI production systems\n\n* Expertise with production Software Engineering - relational and non-relational data modelling, micro-services, understanding of event driven systems, etc.\n\n* Strong experience building large scale multi-tenant systems with high availability, fault tolerance, performance tuning, monitoring, and statistics/metrics collection.\n\n* Strong expertise in Python and Cloud environments\n\n* Good grasp of Machine Learning (especially Deep Learning) fundamentals.\n\n* Ability to collaborate and communicate effectively in an all-remote setting\n\n* Doing your work with curiosity, ownership, transparency & directness, outcome orientation, and customer empathy.\n\n\n\nBonus\n\n\n* Experience as a service owner of a realtime production system - operating & monitoring services in production, including using observability tooling such as Prometheus, Grafana, Tempo or equivalent offerings and incident management.\n\n* Experience with building applications that can be deployed in cloud, hybrid or on prem environments\n\n* Exposure to Reinforcement Learning\n\n\n\nOur Stack\n\n\n* Languages - (Backend) Python, Go; (Frontend) JavaScript/TypeScript, React; Customer SDK & Clients - C# .NET\n\n* PyTorch\n\n* Cypress\n\n* Docker, Kubernetes, Terraform & Kapitan\n\n* Gitlab CI, ArgoCD, Atlantis, Vercel\n\n* GCP - GKE, PubSub, CloudSQL, BigTable, Postgres, etc.\n\n* Ray.io\n\n* REST & gRPC micro-services\n\n* Poetry, Pantsbuild\n\n\n\nGeneral Interview Process\n\nAll of our interviews are held via Google Meet, and an active camera connection is required.\n\n* Initial screening interview with a People Operations team member (30 minutes): The purpose of this interview is to meet you, learn more about your background, and discuss what you are looking for in a new position.\n\n* Hiring manager interview (30 minutes): The purpose of this meeting is for you to get to know the manager for the role. This chat will mainly focus on your previous experience and technical background. You can expect to talk about projects that you have worked on in the past and ask any questions about the team & role.\n\n* Technical Interview 1 (60 minutes): The purpose of this interview is to assess your skills in Machine Learning and related mathematics.\n\n* Technical Interview 2 (90 minutes): In this interview, we will go over a real world MLOps problem. You can expect to draw architecture diagrams using boxes & arrows in your browser. We will talk about system design, scalability and monitoring.\n\n* Meeting with VP of Engineering (30 minutes): This interview is a combination of technical and cultural fit assessment. You will cover the technical experience and the skills that you brinand have an opportunity to ask any questions about the team’s culture or vision.\n\n* Culture fit interview with Phaidra’s co-founders (30 minutes): This interview focuses on alignment with Phaidra’s values\n\n\nBase Salary\n\nUS Residents: $115,200-$208,800/year\n\nUK Residents: £96,400-£144,000/year\n\nThis position will also include equity.\n\nThese are best faith estimates of the base salary range for this position. Multiple factors such as experience, education, level, and location are taken into account when determining compensation. \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Design, Python, DevOps, Cloud, API, Senior, Engineer and Backend jobs that are similar:\n\n $65,000 — $110,000/year\n
\n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
\n\n#Location\nSeattle, Washington, United States

\nBuild and support self-serve tools for data exploration and analysis. Create and maintain data pipelines that enrich the data lake, data warehouse and drive critical business reports. Ensure data pipelines are robust and fault tolerant in order to have accurate data delivered in a timely manner. Build and maintain data models used by data consumers. Encourage software engineering best practices on the Analytics Engineering team. Coordinate and support data requests. Scale existing software system to meet the extraordinary application demand. Work in a cross-functional team to ensure data quality for all data consumers. Develop testing framework for data products. Build relationships with data consumers in order to ensure data quality across the organization. Analyze user needs and software requirements to determine feasibility of design within time and cost constraints. Lead new initiatives from conception to delivery to bring new features to the Analytics Platform. Work with leadership to identify opportunities that drive business value. Conduct performance tuning, troubleshooting and optimization of data solutions to improve system performance and stability. Stay current with industry trends and technologies and find ways to incorporate them into the Analytics Platform. Be a mentor and resource for colleagues. Position allows telecommuting from anywhere in the U.S. Salary: $139,464 - $191,500 per year. \n \nMinimum Requirements: Bachelor’s degree or U.S. equivalent in Computer Science, Computer Engineering, Information Technology, or a related field plus 5 years of professional experience as Application developer, software developer or any occupation/position/job title involving analytics software engineering. In lieu of a Bachelor's degree plus 5 years of experience, the employer will accept a Master’s degree or U.S. equivalent in Computer Science, Computer Engineering, Information Technology, or a related field, plus 3 years of professional experience as Application developer, software developer or any occupation/position/job title involving analytics software engineering. Must also have experience in the following: 3 years of professional experience performing analytic software engineering (including planning, analyzing, designing, developing, implementing, testing and maintaining software systems or applications); 3 years of professional experience with data modeling and data warehousing concepts; 2 years of professional experience with SQL, including optimizing queries against large data sets on a petabyte scale; 2 years of professional experience with Python 3.x; 2 years of professional experience using big data technologies including Spark, Databricks EMR, Snowflake, Hive, Hudi, Delta, or Hadoop; and 2 years of professional experience writing ETL data workflows.\n \nPlease email resume to: [email protected]. Please specify ad code HDLL\n\n\n\n\n$139,464 - $191,500 a yearFactors such as scope and responsibilities of the position, candidate's work experience, education/training, job-related skills, internal peer equity, as well as market and business considerations may influence base pay offered.\n\nWhy Match Group?\n\n\nOur mission is simple – to help people find love and happiness! We love our employees too and understand the importance of all life's milestones. Here are some of the benefits we are proud to offer: \n\n\nMind & Body – Medical, mental health, and wellness benefits to support your overall health and well-being\nFinancial Wellness – Competitive compensation, 100% employer match on 401k contributions up to 10% (cap at $10,000), as well as an employee stock purchase program to help you feel supported in your financial security\nUnplug – Generous PTO and 18 paid holidays so you can unplug\nCareer – Annual training allowance for professional development and ERG membership opportunities and events so you feel connected and empowered in your work\nFamily – Families come in all shapes and sizes so we offer 20 weeks of 100% paid parental leave, fertility, adoption, and child care resources, as well as pet insurance and discounts  \nCompany Gatherings – We host fun happy hours and company events where our employees get to know each other and build a sense of connection and belonging!\n\n\nWe are proud to be an equal opportunity employer and we value the rich dynamics that diversity brings to our company. We do not discriminate on the basis of race, religion, color, creed, national origin, ancestry, disability, marital status, age, sexual orientation, sex (including pregnancy and sexual harassment), gender identity or expression, uniformed service or veteran status, genetic information, or any other legally protected characteristic.  Period. \n\n\nIf you require reasonable accommodation to complete a job application, pre-employment testing, or a job interview or to otherwise participate in the hiring process, please contact [email protected]. \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Design, Python, Testing, Senior and Engineer jobs that are similar:\n\n $50,000 — $110,000/year\n
\n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
\n\n#Location\nDallas, Texas

\nBackground: Global Fishing Watch is an international, non-profit organization committed to advancing ocean governance through increased transparency. We create and publicly share knowledge about human activity at sea to enable fair and sustainable use of our ocean. Founded in 2015 through a collaboration between Oceana, SkyTruth, and Google, GFW became an independent non-profit organization in 2017. Using cutting-edge technology, we create and publicly share map visualizations, data and analysis tools to enable scientific research and drive a transformation in how we manage our ocean. By 2030, we aim to monitor and map all commercial activity at sea, including all industrial fishing vessels, small-scale fishing activity, all large non-fishing vessels, and all fixed infrastructure such as aquaculture and oil rigs. We also plan to work with intergovernmental organizations and 30 governments around the globe to promote the adoption of transparency more widely and publicly share ocean data to drive better management of marine resources.\n\nThe Position\n\nThe Research and Innovation team at Global Fishing Watch (GFW) connects data science and machine learning experts with the scientific community to produce new datasets, publish impactful research, and empower others to use our data. This team harnesses satellite technology, machine learning, and big data to shed light on some of the most pressing issues facing the ocean.\n\nWe are now working to map the global footprint of commercial activity at sea, including the activity of all ocean-going vessels and fixed infrastructure. This work involves combining deep learning and data fusion techniques with petabytes of satellite imagery (radar and optical), and billions of GPS positions from vessels, mostly from the Automatic Identification System (AIS) and Vessel Monitoring Systems.\n\nThe Machine Learning Engineer will assist with large data pipelines of satellite imagery and help build computer vision models to detect and classify maritime objects in imagery data. The initial focus will be on vessel detection in high-resolution (3 m) PlanetScope optical imagery from Planet Labs, leveraging an existing model architecture developed for Sentinel-2. Subsequent work includes implementing new models to expand the detection capability to offshore infrastructure using new satellite imagery sources. The candidate will also collaborate closely with other members of the Research and Innovation team to correlate detected vessels (position, time and length) to vessels tracked by AIS. Finally, the candidate will work closely with the GFW Engineering and Product teams to ensure solutions are compatible and scalable within our cloud infrastructure. \n\nThe incumbent will gain experience working with leading researchers in the field and will interface daily with GFW’s team of data scientists and machine learning experts. They will develop further technical skills in programming, big data, and cloud computing while working for a globally diverse and fully distributed organization. The successful candidate will be organized and excited to help Global Fishing Watch develop strong partnerships and cutting-edge research. \n\nPrincipal Duties and Responsibilities\n\nModel development for small object detection\n\n\n* Design, train, and evaluate computer vision models for object detection in satellite imagery, with an emphasis on vessel detection in optical imagery \n\n* Implement preprocessing pipelines to obtain imagery and prepare it for annotation and modelling \n\n* Devise annotation strategies and tools for labelling vessels and fixed infrastructure in satellite images\n\n* Improve our training datasets and build new training datasets for other human-made objects, potentially managing external annotation services\n\n\n\n\nAdditional tasks may include\n\n\n* Provide technical support to the senior machine learning engineer(s) responsible for developing and advancing other Global Fishing Watch models\n\n* Assist data fusion efforts to integrate detections from multiple sources (e.g. Sentinel-1 SAR and Sentinel-2 optical), accounting for the recall of each model, length of the objects, cloudiness, and image resolution, among others\n\n* Analyze large amounts of data from various sources, such as vessel tracking, identity, and satellite imagery to identify trends, anomalies, and insights\n\n* Ensure the integrity and accuracy of key data pipelines and research BigQuery tables \n\n* Maintain and improve internal Python tools, such as modules and template repositories, to assist with migrating research projects from proof-of-concepts to automated prototypes\n\n* Lead or support eventual research publications and technical blog posts\n\n\n\nCandidate description\n\nSkills you should have\n\n\n* Bachelor's degree and at least four years of professional experience, or an equivalent combination of education and experience, in physical/earth sciences or a related field\n\n* Demonstrated skills and experience with Python\n\n* Strong foundation in mathematics and statistics\n\n* Familiarity working with geospatial data\n\n* Demonstrated experience working with cloud compute platforms and virtualized environments\n\n* Self-motivated with a strong curiosity and desire to learn new skills\n\n* Willingness to take ownership of projects and communicate project updates\n\n* Written and verbal communication skills in English\n\n* Ability to work with a remote team and embrace Slack, Google Suite, Jira, Notion and other collaborative tools\n\n\n\n\nAlso great\n\n\n* Some experience with database query languages such as SQL\n\n* Demonstrated experience with computer vision models\n\n* Demonstrated experience with frameworks such as TensorFlow or PyTorch\n\n* Familiarity with containerization tools like Docker and execution of models inside them\n\n* An appreciation for the complexities and rewards of collaborating in a remote, global and inclusive environment\n\n* Experience engaging with academic researchers and the peer-review process\n\n* Awareness of ethical considerations related to privacy and bias in satellite imagery analysis\n\n\n\n\nThe successful candidate will meet most, but not necessarily all, of the criteria above. Although it is obviously helpful, we do not expect that you already have a deep knowledge of building models or our key programming languages; we do expect that you have the aptitude to develop these skills and knowledge, and that you are excited about revealing human activity across the global ocean using these tools. If you don’t think you check all the boxes, but believe you have unique skills that make you a great fit for the role, we want to hear from you!\n\nAdditional Information\n\nReporting to: Senior Data Scientist / Senior Data Science Manager\n\nManages: NA\n\nLocation: Remote - we welcome candidates based in any country\n\nTerm: Permanent position\n\nFT/PT: Full-time\n\nRecruiting process\n\nA cover letter along with a CV will be requested to see how your experience and interest connect to the position. We expect the cover letter to explain details on how your skills, interests, and aspirations align with the role. If selected for consideration, the hiring process for this position will include a formal 45 minute interview with 2-3 staff followed by a 30 minute administrative screening by a Human Resources manager. Candidates advancing beyond this round will be asked to take a technical assessment. Lastly, an informal 30 minute call with 3-4 members of the Research and Innovation team will be held with finalists.\n\nPlease apply by January 26, 2024\n\nWorking Hours: Global Fishing Watch supports flexible working, so the pattern of hours may vary according to operational and personal needs. The position will be part of a global team spanning many different time zones and so the candidate should be able to accommodate semi-regular early/late meetings to be able to work effectively. Weekend work may be required on occasion. The post holder may be required to undertake regional and international travel. No overtime is payable.\n\nCompensation: A compensation range for this position is US$ 90,000-$110,000 for US-based employees - For applicants located outside of the US, the pay range will be adjusted to the country of hire. Compensation is commensurate with experience and will vary depending on the hired candidate’s country of residence, in accordance with local laws and regulations. GFW offers pension/retirement, health and other benefits commensurate with similar level GFW employees in the country of employment. The position may be a GFW employee or consultant, depending on the country of residence  \n\nEqual opportunities: Global Fishing Watch is an equal opportunities employer. Global Fishing Watch is committed to promoting diversity and inclusion within our organization and in the greater ocean management and conservation community. We believe that diverse backgrounds, skills, knowledge, and viewpoints make us a stronger organization. Bringing together professionals who possess broad experiences and a spectrum of perspectives will enable us to reach our goal of improved ocean governance faster. We hire and promote qualified professionals without regard to actual or perceived race, color, religion or belief, sex, sexual orientation, gender identity, marital, or parental status, national origin, age, physical or mental disability or medical condition, or any other characteristic protected by applicable law. Our organizational goals match the urgent challenges facing our global ocean, and our mission is designed to help secure a healthy ocean for all. We are committed to building a workforce that is representative of humanity’s diversity, by providing an inclusive and welcoming environment for all employees of Global Fishing Watch and for our partners, vendors, suppliers, and contractors. \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Python, Docker, Accounting, Education, Cloud, Senior and Engineer jobs that are similar:\n\n $60,000 — $100,000/year\n
\n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
\n\n#Location\nWashington, District of Columbia, United States

\n\nOpportunity:\n\nThe Connector Operations team’s mission is to ensure Airbyte’s catalog of over 300+ connectors is easy to work with and manage, for both connector developers and Airbyte users.  This includes the overall monitoring of the quality and performance of our connectors along with the process to build, test, monitor, publish, and certify them.  We also ensure that connectors are a pleasure to discover, install, and upgrade within the Airbyte product.   We are building the ‘app store’ for Airbyte Connectors - getting connector management right is the bread-and-butter of Airbyte.  Success looks like an ever-growing library where everyone on the planet can find a ready-to-use connector to move their data. \n\nWhile we give little importance to job titles, we believe every Airbyter should know their internal level and understand what’s expected of them in their role, at their level. This opportunity is for an L5+ Engineer. L5s contribute their deep expertise and experience to large-scale and complex problems. They drive impact by providing thought leadership and context to the organization, driving alignment across teams to achieve success with company objectives. L5s are often the senior-most member of their team and set a high bar for others to strive towards.\n\n \n\nWhat You'll Do:\n\n\n* Drive projects that enable Airbyte and our community to produce and maintain world-class connectors at a rapid pace.  This includes developing the ideal DX for connector developers which includes build tools, CI pipelines, and publishing workflows.\n\n* Develop changes to our core product(s) that make the experience of finding, upgrading, and configuring connectors as easy as possible.\n\n* Research and produce metrics that monitor the overall health of the Airbyte connectors ecosystem.\n\n* Build leverage via engineering: a week-long project this month should be a ten minute task next month.\n\n* Guide product decisions and the team roadmap with an engineering perspective.\n\n* Engage with the open-source community via Github, Slack, or community events.\n\n* Grow your teammates through mentorship\n\n\n\n\n \n\nWhat You'll Need:\n\n\n* 8+ years of software engineering experience\n\n* Experience working as a Staff, Senior Staff, or Principal level engineer\n\n* Proficiency in Java & Python - Our platform is written in Java/Kotlin and runs connectors in Java & Python; we use Python for connector tooling\n\n* Familiarity with tools like Github Actions, Docker, and Kubernetes and interest in building world-class developer experiences. \n\n* An automation and scalability mindset\n\n* A passion for continuous learning and improvement (both at a personal and team level)\n\n* Belief in our values\n\n\n\n\n \n\nLocation\n\n\n* \n\n\n* San Francisco, Hybrid two days a week\n\n\n\n\n\n\n\n\n\n\nWe provide\n\n\n* Flexible work environment - we don’t look at when you log in, log out or how much time you work. We look at your output and we trust you; it’s the only way remote can actually work. \n\n* Unlimited Paid Time Off - we need you at your best at all times. Our expected minimum time off of 25 PTO days per year lets you schedule your work around your life.\n\n* Co-working space - most of our team enjoys the WFH life but if you prefer to work from a co-working space, we will cover the full monthly cost.\n\n* Parental leave (for both parents) - we offer 16 weeks of paid parental leave for all new parents so you have time to adjust to the new life (and work) schedule introduced by your new bundle of joy.\n\n* Sponsored Travel - we are a distributed team, however, we recognize the value of in-person time. We sponsor annual company-wide retreats, team offsites, and Travel With Purpose in between to allow you to collaborate with your team in person on a regular basis.\n\n* Open book policy - we will pay for books you purchase for your professional and career development. \n\n* Continuous learning/training policy - we sponsor you for the conferences and training programs you feel would add to your development in the company. \n\n* Competitive benefits package for US-based employees, including:\n\n\n\n\n\n* \n\n\n* Blue Shield or Kaiser Medical Insurance \n\n\n* Airbyte covers 100% for both employees and dependents\n\n\n\n\n\n* Dental (including child & adult ortho) & Vision Insurance\n\n\n* Airbyte covers 100% for both employees and dependents\n\n\n\n\n\n* Life and AD&D Insurance\n\n\n* Airbyte covers 100% for employees\n\n\n\n\n\n* Short-term Disability Insurance \n\n\n* Airbyte covers 100% for employees\n\n\n\n\n\n* Long-term Disability Insurance\n\n\n* Airbyte covers 100% for employees\n\n\n\n\n\n\n\n\n\n\n\n\n\n* Healthcare insurance stipend for those outside the US whose countries do not provide it for free.\n\n* 401k for US-based employees.\n\n* FSA (flexible spending account)\n\n* Work Visas We currently sponsor H1B Transfers, TN Visas, and Green Cards. All other Visa requests will be discussed on a case by case basis to determine if we can sponsor.\n\n\n\n\n \n\nSalary for this job- $210,000- $250,000 +  a generous equity package, and benefits listed above for US Market. For countries outside of the US we offer benefits and localized salaries based on your region or area.\n\n \n\nAirbyte is an equal opportunity employer that does not discriminate on the basis of actual or perceived race, creed, color, religion, national origin, ancestry, age, physical or mental disability, pregnancy, genetic information, sex, sexual orientation, gender identity or expression, marital status, familial status, domestic violence victim status, veteran or military status, or any other legally recognized protected basis under federal, state or local laws. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. \n\nAirbyte is committed to providing reasonable accommodations for qualified individuals with disabilities in our job application procedures. Please let us know if you need assistance or accommodation due to a disability.\n \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Python, Java, Senior and Engineer jobs that are similar:\n\n $45,000 — $95,000/year\n
\n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n