AI / ML Software Engineer

U.S. Citizenship Required. Ability to qualify for a US Department of Defense security clearance required.

This position is in-person.

Toyon is seeking highly qualified AI / ML Software Engineer candidates to develop software in the Python or C++ languages in support of Artificial Intelligence (AI) / Machine Learning (ML) applications. Our software engineers work closely with our researchers and customers to create state-of-the-art solutions. Experience with Reinforcement Learning (RL), Large Language Models (LLMs), Computer Vision, other AI / ML techniques, or video or signal processing is a plus. Experience working in a collaborative environment with configuration management and version control tools is also desired. Candidates should possess strong math and physics knowledge to enable developing advanced AI / ML software to solve sensor data processing or control problems.

Requirements

Candidates for the AI / ML Software Engineer position should have a strong background in engineering, computer science, physics, and / or mathematics. An advanced degree (M.S. / Ph.D.) or a Bachelor’s degree and at least two years of industry experience are required.

WE OFFER AN EXCEPTIONAL EMPLOYEE BENEFITS PACKAGE!

• Competitive Industry Pay
• 100% Employer-Paid Medical Insurance Premium
• HSA with Employer Contributions
• Dental and Vision Coverage Options
• Paid Holidays
• Paid Vacation and Sick leave
• Company Funded 401(k) and Profit Sharing Plans
• Employee Stock Ownership Plan (ESOP)
• Life and Disability Insurance
• Paid Parental Leave
• Discretionary Bonus Eligibility

The annual pay range for the AI / ML Software Engineer position is $110,000 to $190,000.

The posted pay range values provide the candidate with guidance on annual base compensation for the position, at a full time level of effort, exclusive of overtime, bonus, and benefits-related compensation, over a range of qualifications that may fit hiring objectives. Toyon Research Corporation will consider the individual candidate’s education, work experience, applicable knowledge, skills and training, among other factors, when preparing an offer of employment.

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Equal Opportunity Employer including Disability and Veterans

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