North Point Defense (NPD) is seeking an experienced Machine Learning Researcher to join its team in Rome, NY.

This position will be responsible to research methods focused on enabling ML technologies that provide real-world solutions.
Collaborate with a diverse team of software developers, DSP engineers, FPGA engineers, and Subject Matter Experts.
Research may result in publications in AI/ML conferences and journals

Requirements

Strong experience and skill with PyTorch and TensorFlow

Strong knowledge of languages such as Python

Research topics including reinforcement learning, multimodal models, object detection, LLMs, and transformers are preferable
Master's with 3+ years of experience or PhD in the field of Computer Science, Artificial Intelligence, or relevant technical field

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information.

Current TS/SCI a strong plus.

Benefits

Casual team-oriented work environment.

Flexible work schedule.

Competitive salary, with special considerations for cleared individuals.

Pay for every hour you are authorized to work.

Individual Benefit Account (IBA) with an employer contribution equal to 15% of an employee’s annual salary. IBA funds can be used toward:

Health Insurance

Dental/Vision Insurance

Health Savings Account – Employee Contributions

Paid Time Off - up to 34 days of PTO per year plus 6 paid holidays

Group Term Life Insurance

Accidental Death Insurance

Generous 401(k) program

Company paid short-term disability insurance

Company paid long-term disability insurance

North Point Defense, Inc. is an equal opportunity and affirmative action employer that does not discriminate in employment.

All qualified applicants will receive consideration for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.

Location

Rome, New York, United States

Job Overview
Job Posted:
3 months ago
Job Expires:
Job Type
Full Time

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