Senior Machine Learning Engineer
Remote U.S., Remote U.S., Remote U.S.
Job TitleSenior Machine Learning Engineer
Join a small, committed team to train, improve, analyze, and deploy ML models to estimate power plant emissions around the globe.
WattTime is working on an ambitious project to estimate emissions from power plants around the world using satellite imagery and we want your help getting us there. This role is a unique opportunity to impact significant emissions reduction efforts across industries globally and with the speed only cutting edge technology and collaboration makes possible. This role in particular involves:
- Identifying signals emitted from various types of power plants which are visible in satellite imagery, creating features to capture those signals, and training/tuning machine learning models to make predictions as to how much a power plant is generating based on satellite images
- Writing clean, maintainable Python code to implement data pipelines, add to test frameworks, and implement new models
- Facilitating software project planning and technical diligence in cross-functional groups alongside software engineers, product managers and building energy domain experts
- Creating statistical tools for uncertainty quantification and user decision support in scenarios of imperfect or incomplete timeseries data.
- Leveraging your skills, resources and capabilities to take on impact-driven work that hasn't been scoped yet
- Remote location, anywhere in the U.S.
- Must be authorized to work in the U.S.
- Salary: $120,000 - $135,000 based on experience
- Timing: Opening posted October 11, 2021. Accepting applications on an aggressive, rolling basis.
- In addition to a current and relevant resume, please send a response to the following: Briefly describe a challenging machine learning problem you’ve solved (preferably one involving images)
- Telecommuting is OK
- No Agencies Please
- 4+ years of work experience in computer vision, machine learning or data science. Extensive neural network experience is not required.
- Strong software engineering skills in Python and its associated data science libraries, specifically scikit-learn.
- Comfortable working in a Unix environment, familiar with relational databases and cloud infrastructure.
- Experience implementing and testing advanced machine learning algorithms.
- Highly motivated, collaborative, action-oriented, confident, and respectful.
- Bonus points: Prior experience working with satellite imagery, power grid, emissions and/or energy data.
About the Company
We are practical, results-driven scientists. We believe nothing has more potential for fast, world-changing impact than software does. We embrace change. We are lean and rapid prototypers. We never confuse growth with impact. We are all personally, fiercely committed to our mission. We are quietly radical in unexpected ways. We have allies, not competitors. Our band of expert volunteers helps us punch above our weight class. We trust in data and everyone’s voice being heard. We know diversity is central to success. We consider respect non-negotiable: there are no jerks here.
Unlike most start-ups, our team is backed by a host of more than 200 volunteers who contributed to our founding and are happy to support us in terms of advice, networking and perspective.
WattTime is an Equal Opportunity Employer (EOE) and does not discriminate on the basis of race, gender, disability, or sexual orientation or classification.
- Contact: Katie Ryan
- E-mail contact: firstname.lastname@example.org
- Web: https://watttime.recruiterbox.com/jobs/fk0s21n?cjb_hash=O_keyc29&apply_now=true