[Remote] Machine Learning Engineer (SmartBidder)
Note: The job is a remote job and is open to candidates in USA. Ascend Analytics is a company focused on creating sustainable economic value for energy buyers and producers. They are seeking a Machine Learning Engineer to support the SmartBidder team in optimizing energy storage and renewable assets through advanced analytics and software solutions.
Responsibilities
- Prototype and experiment with novel machine learning models and mathematical/statistical algorithms for short term energy market forecasting
- Optimize and enhance computational efficiency of algorithms and software design
- Work with our team of analysts to integrate new features, evaluate performance, automate, and generalize data science models within production software
- Design and write clean, scalable, production code in Python
- Implement systems for collecting, storing, and working with data at scale
- Communicate clearly and effectively (orally and in writing) with both technical and nontechnical stakeholders
- This position involves working collaboratively both within your software team and outside with the analyst team
- The software development team follows an agile scrum process, and all team members are expected to contribute to technical design reviews, implementation strategies, operational system support, and sprint planning
Skills
- 2+ Years experience in a highly related role
- BS or MS in Engineering, Computer Science, Data/Information Science, Physics, Applied Mathematics, Signal Processing, Operations Research, Statistics, Economics, or Power Systems (or related fields)
- Experience performing independent research including reading academic papers, developing and testing hypotheses, and analyzing experimental results
- Demonstrated academic or professional software coding experience in Python
- Familiarity with data processing in Python (including Pandas, Numpy, Sympy, Scikit-Learn) and machine learning development in Pytorch (or similar)
- Strong interpersonal skills, a collaborative team-first mindset and results-oriented work ethic
- Demonstrated interest in the energy sector (e.g. coursework, professional development activities, podcasts, independent reading, etc.)
- Ability to communicate with impact and confidence, effectively conveying ideas and influencing outcomes, both orally and in writing
- Familiarity or exposure to cloud computing platforms and ecosystems, e.g., Azure, AWS, and containerization, e.g., Docker
- Understanding of basic microeconomic principles
- Knowledge of wholesale electricity markets
Benefits
- Medical, dental, and vision coverage.
- Life and disability insurance.
- Parental leave for growing families.
- FSA, HSA, and dependent care accounts.
- 401(k) with 3% non-elective contribution.
- Flexible PTO to take time when you need it.
- Flexible work hours
- A collaborative environment
- Real opportunities for advancement
- Hybrid schedule (3 days in-office, 2 days remote)
Company Overview