Deep Learning Algorithm Developer with Security Clearance

> Deep Learning Algorithm Developer Toyon Research Corporation Deep Learning Algorithm Developer Description U.S. Citizenship is Required. Ability to qualify for a US Department of War security clearance required. This position is in-person. Toyon has openings for researchers and developers to solve challenging real-world problems using Artificial Intelligence (AI) / Machine Learning (ML) techniques. Experience in Reinforcement Learning (RL), Computer Vision, or Natural Language Processing (NLP) is desired for current openings.

Our researchers apply AI/ML techniques to develop data processing automation and control solutions for problems in remote sensing, video-based tracking, low-shot classification, 3D reconstruction, NLP, and other application areas including platform control. Requirements Candidates for the Deep Learning Algorithm Developer position should have a strong background in engineering, computer science, physics, and/or mathematics. Experience with PyTorch, TensorFlow, or other deep learning frameworks is required. An advanced degree (M.S./Ph.

D.) or a Bachelor’s degree and at least two years of industry experience are strongly desired. 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 Deep Learning Algorithm Developer position is $100,000 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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