**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 evolve— 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 — 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\nPlease mention the words **OVAL DUTY LAUGH** when applying to show you read the job post completely (#RMjE2LjczLjIxNi4xOA==). This is a feature to avoid spam applicants. Companies can search these words to find applicants that read this and see they're human.\n\n \n\n#Salary and compensation\n $80,000 — $130,000/year\n \n\n#Location\nWorldwide

HigherEducation.com partners with many of the most recognizable names in the online education industry to help them build their programs and expand student bases with our 75M annual site visitors. We also love to use cutting edge technologies to make developer life enjoyable and more productive.\n\nWe’re looking for an experienced, hands-on hybrid role of JavaScript Engineer and data scientist to join a major initiative at a critical point in our company’s growth. The ideal candidate (which means you, right?) will be responsible for debugging existing code bases and innovating new solutions through data science research. Other duties include enhancing & maintaining the core product, creating & maintaining the tests for various code repositories,\n\nThe position requires:\n- Possess a rock-solid background in Computer Science (minimum BS in Comp Sci or related field) or at least 5 years of development experience in a challenging, fast paced environment.\n- Demonstrated advanced proficiency in one or more of the following fields: Natural Language -\n Processing, Machine Learning, Deep Learning, Recommendation Systems.\n- Server-side JavaScript (e.g. Node.js - Express, Koa, Hapi).\n- Client-side JavaScript (e.g. React, MobX, Redux).\n- Build tools (e.g. Gulp, Grunt, Browserify, Webpack).\n- Exposure to AWS or other cloud platforms a plus.\n\n\nDesired qualifications include experience with:\n- Advanced degree is a plus but you're not just an academic -- you have hands-on software engineering experience applying complex algorithms to real-world problems at scale.\n- Work effectively in agile teams; get stuff done with minimal guidance and zero BS, help others and know when to ask for help. Clearly communicate complex technical and product issues to non-technical team members, clients, etc.\n- Bonus points for experience implementing machine learning algos on GPU's or other hardware acceleration!\n\n\nWhat it's like \n\nLast year, we had a blast. We personally enjoy getting rid of legacy code & turning servers off in favor of clean, new, tested services.\n\nEach project is fairly small in scope with a large amount of flexibility and freedom to discuss & find the best architecture for the job and for the team. Usually, a single person heads up a project, collaborates with another for architecture & solutions, and eagerly looks forward to launching (rather than endlessly polishing).\n\n- Slack for conversations.\n- Asana for project tracking & deliverables.\n- Github for code collaboration.\n- DroneCI for CI & CD.\n\nBeing in a USA timezone is highly desirable.\n\n\nFor example...\n\nIn 2016 we...\n\n- Built and deployed a central platform for managing monetization across our portfolio.\n- Broke up an old monolith into smaller Docker services running on Rancher and got a solid, always-deploying CI/CD pipeline.\n- Established a lightweight Agile process to aid developer efficiency from initiative to initiative.\n- Worked with in house teams to conduct research in the frame of Recommendation Systems with a working prototype.\n\nIn 2017 we're...\n\n- Building applications to expand the business into areas of organic growth.\n- Refactoring and simplifying our micro-services ecosystem.\n- Doubling down in a robust product recommendation approach to better serve our users.\n\n\nHuman Environment\n\n- Centrally located in downtown Houston, free employee parking.\n- Coed work environment, casual dress code.\n- Cool office perks (e.g. sodas & coffee, happy hours, etc.).\n- Generous salary considerations & full benefits.\n- 6% 401k matching\n- 100% health / vision / dental for you & subsidies for the rest of your family\n- 15 vacation & sick days / yr.\n- Gym membership reimbursement up to $100/mo\n\n\nWhat We Value\n\nWe love to work as a team but office hours are flexible. Producing is more important than meeting a 9 to 5 schedule. We understand there are moments when you need to isolate yourself to concentrate so working from home is permitted and encouraged.\n\nWe like to have a good time and minimize stress with good in-office coffee, ping pong, lounge/reading time and regular happy hours. We work hard and meet realistic deadlines. What good is delivering a poor product early?\n\nWe also understand that family is important, so time-shifting (and sometimes day-shifting) is necessary to deliver for both the team & your family.\n\n \n\nPlease mention the words **WEALTH STAIRS TOSS** when applying to show you read the job post completely (#RMjE2LjczLjIxNi4xOA==). This is a feature to avoid spam applicants. Companies can search these words to find applicants that read this and see they're human.\n\n \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to JavaScript, React, Machine Learning, Data Science, Full Stack, Developer, Digital Nomad, Education, Cloud and Engineer jobs that are similar:\n\n $70,000 — $120,000/year\n