Staff Engineer Optimization & AI/ML

Our mission at Enphase Energy is to advance a sustainable future for all.

Today our intelligent microinverters which turn sunlight into an affordable safe reliable and scalable source of energy work with virtually every solar panel made and when paired with our award-winning smart battery technology we engineer one of the industrys best-performing clean energy systems. To date we have installed more than 48 million microinverters on more than 2.5 million systems across 140 countries and well over 50 thousand homes use our energy storage products.

Like our customers our innovative teams are also worldwide making Enphase Energy a truly global company. We are one of the fastest growing and most dynamic energy companies in the world. Nimble and acutely focused on developing ground-breaking solar energy management technology each of our teams has a shared goal of creating a carbon-free future.

Do you want to help change the world Learn more about the role:

For our Customer Experience team we seek Hands-On Staff Data Scientist who can work on designing & implementing high quality scalable optimization-based applications and platforms while providing technical leadership and mentoring to a small team of talented developers in agile environment. Your ability to take ownership of architecture design and implementation of maintainable high-quality and high-performing Machine Learning systems and Optimization applications is essential for success in this role.

Provide hands-on technical expertise to design engineer deploy and deliver highly scalable optimization-based applications. Drive improvements in technical architecture standards and processes. Drive engineering excellence while managing/mentoring talented team of developers in agile environment. Work closely with product management and other stakeholders for system design and delivery.

Job Description:

As an Optimization and AI/ML Expert you will be responsible for developing and implementing advanced machine learning models optimization algorithms and analytical tools. You will leverage your expertise to solve complex business problems by using data-driven approaches and predictive modelling techniques. The ideal candidate will have a strong background in AI/ML optimization Electrical Engineering domain and applied mathematics with a passion for designing efficient solutions to tackle large-scale real-world challenges.

Responsibilities:

• Optimization & AI/ML Model Development: Design develop and implement AI/ML models and optimization algorithms to address business challenges and improve decision-making.
• Data Analysis & Feature Engineering: Work with large datasets to preprocess analyze and engineer features for model development. Ensure data quality and integrity.
• Performance Improvement: Apply optimization techniques (e.g. linear programming constraint programming heuristic algorithms) to optimize business operations resource allocation and other key processes.
• Collaboration & Problem-Solving: Collaborate with cross-functional teams including data engineers business analysts and domain experts to identify problems and translate them into solvable AI/ML models.
• Research & Innovation: Stay updated on the latest trends in optimization machine learning and AI research. Evaluate and apply emerging technologies and techniques to enhance system performance.
• Model Evaluation & Tuning: Conduct model evaluation using appropriate metrics tune hyperparameters and ensure that models perform optimally in production environments.
• Documentation & Reporting: Document the methodology processes and results of AI/ML projects. Communicate findings to stakeholders and contribute to technical reports or presentations.
• Deployment & Monitoring: Work with engineering teams to deploy AI/ML models into production. Monitor model performance and provide ongoing support for scalability and robustness.

Required Skills & Qualifications:

• Experience: 5-10 years of experience in Electrical engineering with specialization in AI/ML optimization and data science with a proven track record of applying these skills to real-world business challenges.
• Strong Analytical Skills: Expertise in quantitative analysis applied mathematics and optimization algorithms (e.g. integer programming dynamic programming convex optimization).
• Proficiency in Programming: Strong programming skills in Python R and/or MATLAB. Experience with libraries like TensorFlow PyTorch Scikit-learn or similar.
• Machine Learning Expertise: Deep understanding of supervised and unsupervised learning reinforcement learning and model validation techniques. Familiarity with deep learning and neural networks is a plus.
• Optimization Knowledge: Solid knowledge of optimization techniques for solving complex resource allocation scheduling or routing problems.
• Data Handling & Analysis: Experience with big data technologies (Hadoop Spark) data preprocessing and feature engineering techniques.
• Problem-Solving Mindset: Ability to translate business problems into mathematical models and find creative solutions.
• Communication Skills: Strong written and verbal communication skills to effectively convey technical concepts to non-technical stakeholders.
• Advanced Degree: A Masters or Ph.D. in Computer Science Mathematics Engineering Operations Research or a related field is highly desirable.

Preferred Qualifications:

• Experience in the deployment and scaling of AI/ML models in production environments.
• Knowledge of cloud platforms such as AWS Google Cloud or Azure.
• Familiarity with optimization software/tools like Gurobi CPLEX or other commercial solvers.
• Experience with reinforcement learning and optimization in dynamic or uncertain environments.

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