1753 Engineering Assistant jobs in Albany,NY

The pay range for this position is between $131,700.00 and $219,300.00.

The Company pays a geographic differential of 110%, 120% or 130% of salary in certain areas.

Bonus eligibility: discretionary annual bonus.

Living stipend provided

Travel, housing, and living stipend provided

Medical, dental, vision, and prescription drug coverage

Access to Health Coach from GE Vernova, a 24/7 nurse-based resource

Access to the Employee Assistance Program, providing 24/7 confidential assessment, counseling and referral services

The GE Vernova Retirement Savings Plan, a tax-advantaged 401(k) savings opportunity with company matching contributions and company retirement contributions

Access to Fidelity resources and financial planning consultants

Tuition assistance

Adoption assistance

Paid parental leave

Disability benefits

Life insurance

12 paid holidays

Permissive time off

10+ years of relevant experience

A Master's or PhD degree in Computer Science, Artificial Intelligence, Machine Learning, AI Engineering, or related fields.

Must be willing to work out of an office located in Niskayuna, NY or Cambridge, MA.

For Cambridge, MA based resources, this position includes a required three-month (hybrid) onboarding residency at the GE Vernova Advanced Research Center in Niskayuna, NY.

GE Vernova will only employ those who are legally authorized to work in the United States for this opening.

Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable).

PhD degree in Computer Science, AI, ML, Engineering, Data Science, or related field

3+ years of experience with prompt engineering and familiarity with tools such as OpenAI's GPT models, Hugging Face, etc.

5+ years of experience with Python or other programming languages commonly used in AI/ML development.

Experience with machine learning frameworks (e.g., PyTorch) and data processing libraries (e.g., Pandas, NumPy).

Previous experience or internships involving NLP or machine learning projects.

Familiarity with version control systems like Git.

Understanding of traditional industry operations and challenges.