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πŸ’° $80k - $130k




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 **Overview:**\n\nThe legal cannabis market is one of the most dynamic, fast-paced new industries on the planet. Growing adoption for recreational as well as medical use will require public perceptions to shift and evolveβ€” a massive marketing challenge that has to take into account compliance with multiple states and federal regulatory bodies for trade/communications as well as restrictions on fundamental ad channels taken for granted by traditional consumer product marketers.\n\nThose who will succeed in building enduring, global cannabis brands need tools to navigate problems unique to the space. This is why AMNESIA builds products that help the top, enterprise-size cannabis brands compliantly scale their digital marketing and reach the masses with the broader mission of empowering cannabis communities to positively grow.\n\n**The Role:**\n\nAMNESIA is seeking a Senior Full Stack Developer that has a solid foundation in Machine Learning and NLP to join our team on a contract basis.\n\nYou'll collaborate closely with the founders and product team to understand our customers' problems as well as to plan, strategize, & help to develop our enterprise marketing compliance product from closed beta stage to version one. \n\nYou will be responsible for our entire ML/NLP pipeline from ideation to final implementation in order to level up the core feature sets of our compliance product. \n\nYou should have experience building scalable/maintainable complex systems. You should have experience building intuitive products that empower users. You should be able to do all of the above quickly and more efficiently than most.\n\nFounders are veterans of regulated markets who move quickly and are passionate about their work. Our partners and customers are the cream of the crop of the cannabis industry. This role offers huge room for growth for an aggressive and ambitious individual who is excited to work with the founders to take ownership of the core feature-sets in our new product and making a dent in one of the most exciting new industries in the world.\n\n**This is a fully remote position.** \n\n**Responsibilities**\n\n- Architect, design, and hands-on build the software\n- Work closely with the founders and product team to build and implement ML/NLP models to improve our product experience.\n- Prepares datasets to train and validate models.\n- Understands and interprets data to come up with optimal feature sets.\n- Deploys the machine learning algorithms into production environment.\n- Documents and presents the work in a complete and consistent way.\n- Produce clean, well-documented and efficient code\n- Handle automation, infrastructure and orchestration\n- Brainstorm new features and shape the product road map together with the founding team and clients\n\n**Requirements:**\n\n- 3+ years experience with machine learning, computer vision, & natural language processing required\n- Ability to lead the implementation of machine learning models from problem definition to serving it in production.\n- expertise in algorithms and data structure\n- expertise in building APIs and back-end business logic\n- experience working with Python/Django\n- experience with AWS, Google Cloud\n- experience working with React is preferred\n- Great communication & documentation skills in English - both oral and written\n- You are extremely proactive, independent and comfortable with proposing new ideas β€” and holding your ground when you believe you are right.\n\n**Bonus:**\n\n- experience developing Enterprise SaaS products\n- experience with NLP models for processing biomedical, scientific or clinical text\n- You significantly contributed to building an early stage product\n- You were the first engineer or the lead engineer in a venture funded startup\n- experience working with docker/containers and\n- experience with data engineering tools and containerization\n- experience using system monitoring tools and automated testing frameworks\n\n**What We Value:**\n\n- A high bar for quality of code and quality of user experience\n- Ability to collaborate, iterate, and empathize with a variety of individuals (users and technical / non-technical stakeholders).\n- Extreme curiosity, growth mindset, and ability to learn quickly and work independently.\n- You are keen on learning new methodologies, technologies and tools; also, on evaluating their pros and cons. You ask questions; always eager to learn more. But you are also pragmatic.\n- Ability to think through customer requirements to come up with creative and high-impact ways of solving their problems \n\n#Salary and compensation\n$80,000 — $130,000/year\n\n\n#Location\n🌏 Worldwide

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πŸ’° $50k - $120k

data scientist




electric vehicles



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## πŸš€About [Ampcontrol](\n\nWe're Ampcontrol, building AI-powered software for electric vehicle (EV) charging.\n\nWe are a venture backed remote team of engineers and energy experts based in Europe and the U.S building the new way of EV charging. Our primary goals are to enable companies to provide higher capacity charging on existing infrastructure as well as optimization of fleet charging logistics.\n\n([link to website](\n\n## 🌎 Our Mission\n\nWe're on a mission to help the automotive industry transition to 100% electric vehicles.\n\nWe believe in a future of self-managing, reliable, and affordable charging for companies, fleet operators, and humans on our planet.\n\n## πŸ’» The Role\n\n- You'll be responsible for building, maintaining and improving our optimization algorithms, models, and simulation tools\n- You can help us select optimization methods from exact methods, metaheuristics, learning models and pro-actively look for possibilities to combine them\n- Develop our algorithms in Python, with an eye on performance and scalability\n- Work with software engineers to build a stable and powerful applications for real-time optimization\n- Monitor and evaluate the performance of algorithms\n- Write clean and easily maintainable code for our optimization engine\n\n## ⭐ You have\n\n- Professional experience in algorithms and optimization problems with time-series data\n- Passion for mathematics and statistics\n- A pro-active approach to work – brining us problems and ideas for solutions in the same time\n- Experience with deploying algorithms in production systems\n- Experience in at least a couple of data science tools such as NumPy, Pandas, Gekko, and similar\n- A good understanding in energy technologies and markets is a plus\n- Fluency in English for verbal and written communication is required\n- Motivation to work on electric vehicles and sustainability\n\n \n\n#Salary and compensation\n$50,000 — $120,000/year\n\n\n#Location\n🌏 Worldwide

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artificial intelligence



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[NEURONBITS]( is going through an extensive growth fase. We are looking for people who are sharp, creative and hardworking, with an unwavering desire to be the best. In return we provide a competetive compensation package, a friendly, challenging, and motivating working environment.\n\n**All positions at Neuronbits are fully remote**\n\nRenumeration package\n\n- € 50k - 70k / year\n- 25 days paid holidays\n\n\n**Job description**\n\nAs a Senior NLP (Natural Lanague Processing) engineer at Nueronbits you will be responsible for research and development of software which will produce analytics over hundreds of thousands of documents each day, all in real-time. You will be working within a skilled development team, with experts in languages such as Python, C++ and Java, also you will also be working closely with our Data Science team.\n\n\n**Primary responsibilities:**\n\n- Design and developing scalable Machine Learning & AI solutions for processing big amounts of textual data.\n\n- Handle multiple sources of data and effective data manipulation, automating it where possible.\n\n- Research state-of-the-art NLP models.\n\n- Implement NLP models and ensure that they will work with low latency and high accuracy in real-time.\n\n- Write and maintain tools that help to create, deploy, evaluate, and monitor ML models in an effective manner.\n\n\n**Ideally, you’ll have:**\n\n- Degree in Computer Science, Engineering or a related subject.\n\n- Good knowledge of Natural Language Processing techniques and models.\n\n- Experience designing and implementing Neural Networks.\n\n- Experience working with TensorFlow / Keras or similar tools.\n\n- Adaptable and willing to learn new technologies independently.\n\n- Good documentation and communication skills. \n\n#Salary and compensation\n50k - 70k / year/year\n\n\n#Location\n🌏 Worldwide

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# How do you apply?\n\nThis job post is older than 30 days and the position is probably filled. Try applying to jobs posted recently instead.