What you’ll do (Job Responsibilities)
- Collaborate with application engineers to develop advanced AI/ML applications.
- Write code that meets quality standards and product requirements.
- Design, prototype and evaluate machine learning models for real-world applications.
- Utilize diverse grid, weather and external data for model training and input.
- Use common methods for feature engineering, evaluating model performance, and conducting hyper-parameter tuning.
- Utilize LLMs and agent orchestration frameworks for evaluating innovative AI use cases.
- Contribute to scalable deployment using Docker and Helm.
What you’ll bring (Basic Qualifications)
- Current enrollment in undergrad or graduate degree in Computer Science, Electrical Engineering, or equivalent technical field.
- Must maintain a minimum GPA of 3.0 out of 4.0 rating scale or 4.0 out of 5.0 rating scale.
- Experience using Python libraries to create machine learning models (scikit-learn, PyTorch, or TensorFlow).
- Experience using AI frameworks (e.g., LangChain, Semantic Kernel).
- Completed courses in statistics and linear algebra
Eligibility Requirements:
- Must be willing to work in an office located in Bellevue, WA.
- Must have the ability to work in the US for an unlimited amount of time without sponsorship
What will make you stand out (Desired Qualifications)
- You have a passion for working collaboratively in a fast-paced team that is innovating to solve big challenges.
- You have experience with creating ML models using deep neural networks, graph neural networks, time series forecasting.
- You have experience with agent frameworks, prompt engineering, embeddings, vector stores.
Benefits Available to you:
Addressing the climate crisis is an urgent global priority, and at GE Vernova, we take our responsibility seriously. That is the singular mission of GE Vernova: to continue electrifying the world while simultaneously working to help decarbonize it. In order to meet this mission, we provide varied, competitive benefits to help support our workforce.
The pay for this position ranges from $21.00/hr - $36.00/hr based on years of undergraduate/graduate field of study completed.
This position is also eligible for:
- Relocation Assistance: Co-op/Interns will be reimbursed for reasonable, proper, and documented expenditures incurred while initially reporting to work and returning to school/home upon completion of the assignment. Employees with a permanent address greater than 50 miles away from the work location are eligible.
- Housing Allowance: Co-op/Interns employees receive a weekly housing allowance to help off-set living expenses when the co-op/Intern’s permanent residence is at least 50 miles away from the work location.
- Employee Assistance Program, providing 24/7 confidential assessment, counseling and referral services
- GE Vernova Retirement Savings Plan (RSP) after their accumulated service reaches 90 days, and they meet any other eligibility requirements as defined in the plans. (Eligibility occurs on the 1st of the month following the 90th day.)
