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

\nWe are looking for a Senior Data Scientist to drive analytics efforts targeted at enhancing end user experience within Spring Health's software applications. You will be embedded in a product development team focusing on the member experience which ensures that Spring Health benefit-eligible employees receive care in the most appropriate and effective way for their mental health journey. In this role, you will help your team to uncover and prioritize new product opportunities and make impact across the entire initiative launch cycle—from data collection design to experimentation to synthesizing actionable learnings and influencing product strategy. \n \n\nWhat you’ll be doing: \n\n\n* Conduct data analyses that influence the product strategy for improving the member experience. \n\n* Lead experimentation to help the product team reason about the impact their features are having on the member experience. \n\n* Collaborate with product, engineering, design, and UXR leads on defining key indicators of the quality of our member experience and uncovering opportunities to improve the user experience\n\n* Investigate user and care segmentation patterns to identify key product opportunities beyond therapy.\n\n* Collaborate with researchers to evaluate how coaching and other care options impact clinical outcomes. \n\n* Build necessary data models to enable analytics and reporting, and partner with data engineering on best practices. \n\n* Lead prioritization and roadmapping discussions from a data science perspective\n\n* Use appropriate advanced methods, from experimentation techniques to causal inference and statistical modeling, for deep-dive analyses around member engagement patterns from enrollment through to retention.\n\n* Work with other data scientists and ML engineers to identify, prioritize, develop, and measure data-centric product features like personalized recommendations and adaptive care pathing. \n\n\n\n \n\nWhat we expect from you:\n\n\n* 5+ years of professional data science experience\n\n* Hands-on experience with experimentation and hypothesis testing\n\n* Proficiency with SQL and Python or R\n\n* Comfort with wrangling event log data\n\n* Experience with data modeling via dbt or similar tools\n\n* Experience working with data visualization and BI tools (e.g. Looker, Tableau) \n\n* Facility with a product development process in the context of a software product\n\n* Excellent verbal and written communication skills to guide and make recommendations to technical and non-technical business partners\n\n* Proven ability to proactively manage your own priorities and dependencies in alignment with cross-functional dependencies and business impact in a fast-paced environment\n\n* Passion for successfully navigating ambiguous problem areas and learning new approaches\n\n* Willingness to travel (at least 1 time per year) to NYC for collaborative sessions and summits with the team\n\n\n\n \n\nWhat we’d love to see (bonus):\n\n\n* Familiarity with marketing SaaS metrics (e.g., CAC) and an interest in applying such efficiency models to novel domains.\n\n* Exposure to building and/or evaluating recommendation algorithms, tuning search and sorting algorithms is preferred\n\n\n\n \nThe target salary range for this position is $159,100 - $194,150, and is part of a competitive total rewards package including stock options, benefits, and incentive pay for eligible roles. Individual pay may vary from the target range and is determined by a number of factors including experience, location, internal pay equity, and other relevant business considerations. We review all employee pay and compensation programs annually at minimum to ensure competitive and fair pay.\n\nDon’t meet every requirement? Studies have shown that women, communities of color and historically underrepresented talent are less likely to apply to jobs unless they meet every single qualification. At Spring Health we are dedicated to building a diverse, inclusive and authentic workplace, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we strongly encourage you to apply. You may be just the right candidate for this or other roles!\n\nReady to do the most impactful work of your life? Learn more about our values, how we work, and how hypergrowth meets impact at Spring Health: Our Values\nHypergrowth meets impact\n\nWhat to expect working here:\n\n\nYou will be held accountable to an exceptionally high bar and impact\n\nThis may be the fastest work environment you will ever experience in terms of growth, decision-making, and time to impact\n\nYou will be challenged to set and protect your own boundaries\n\nYou will create processes & products that have never existed before\n\nYou will have very direct conversations and receive continuous feedback to push you to become the highest performer you can be\n\nChange is a constant here: your role, team, responsibilities, and success metrics will shift as the company grows\n\n\n\n\nAnd…\n\n\nYou get to be surrounded by some of the brightest minds in the field  \n\nYou get to learn and grow at an extremely accelerated pace\n\nYou will experience transparency, integrity, &  humility from leadership \n\nYou will be empowered to constantly challenge the status quo\n\nYou get the space to experiment & innovate\n\nYou get to make a transformational impact for the company, mental health, and for real human lives — and you will see that impact quickly\n\nYou will become more resourceful and resilient\n\nYou get to be part of a winning team that opens doors in the future\n\n\n\n \n\nBenefits provided by Spring Health:\n\nYour Total Health:\n\n\nGenerous medical, dental, vision coverage available day 1 + access to One Medical\n\n20 total yearly no-cost visits to the Spring Health network of therapists, coaches, and medication management providers for you and your dependents\n\nFlexible paid time off in addition to 12 paid holidays throughout the year\n\n$500 per year Wellness Reimbursement\n\nAccess to Gympass, an on-demand virtual benefit that provides wellbeing coaching, and budget management.\n\nSabbatical Leave: When you’re a Team Member at Spring Health and hit your four-year Springaversary, you’ll be awarded a four week, fully paid, sabbatical leave. \n\n\n\n\nYou And Your family:\n\n\n4-4.5 months of fully paid parental leave\n\nSpring Health provides team members and their families with sponsored access to Bright Horizons® child care, back-up care, and elder care.\n\nAccess to Joshin is provided by Spring Health. Joshin is a comprehensive support system for disabilities and neurodivergence in the workplace. This benefit supports employees, their families, and our teams through personalized navigation and disability education and training along with a network of screened in-home caregivers with disability and neurodivergent experience. \n\nAccess to fertility care support through Carrot, in addition to $4,000 reimbursement for related fertility expenses\n\n\n\n\nSupporting you financially through:\n\n\nOur People team benchmarks all salaries using the Radford Global Compensation Database for technology and life sciences industries. Radford benchmarks salaries with 3,589 global firms, 6.5 million employees, and 98 countries across the globe. We do this to ensure all of our team members are paid equally and competitively.\n\nOn top of competitive and benchmarked salary, Spring Health offers incentive pay (based on role), and equity that begins vesting as we celebrate your first year with the company!\n\nEmployer sponsored 401(k) match of up to 2% after 90 days of employment\n\n\n\n\nCreating a culture you can thrive in:\n\n\nFlexible work arrangements: 60% of Spring Health team members work fully remote while 40% work in a hybrid model from our New York City offices\n\nFocus Fridays: no meetings, no distractions, just time for you to get work done.\n\nFocus Weeks: In Spring 2023, we held our first ever Focus Week, we canceled all non-essential meetings, minimized distractions, and you, our team members, to dive into the key work that gets chopped up or deprioritized during the regular day-to-day. We saw a 36% jump in the average energized score after those five days of flow state work and are finalizing a plan for quarterly Focus Weeks for team members.\n\nUp to $1,000 Professional Development Reimbursement per calendar year.\n\n$200 per year donation matching to support your favorite causes\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 Design, SaaS, Python, Education, Senior and Marketing jobs that are similar:\n\n $57,500 — $97,500/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\nNew York City, New York, United States