ML Engineer

RESPONSIBILITIES

• Serve as a member of the factory software machine learning and computer vision team
• Design, develop and implement critical machine learning models that operate on our factory and warehouse environments
• Take ambiguous problem statements and build end-to-end models using a variety of techniques and tools like supervised learning, convolutional neural networks, Pytorch, Pandas, etc.
• Work closely with partners in production, process, controls, quality, etc. to build solutions for the hardest problems faced in our operations
• Take ownership of models in production and ensure there is proper alerting systems in place to rapidly deal with any issues that occur
• Clean and deal with diverse and heterogeneous data sets that combine many modalities like images, multi-spectral sensor outputs, voice, text, and tabular data

• In-depth knowledge of Python for high-performance data-intensive applications
• Familiarity with at least one modern deep learning framework (Pytorch, Jax, Tensorflow, etc.)
• Expertise in one or more areas like computer vision, large language models, recommender systems, or operations research
• Foundational knowledge of statistics for comparing models and assessing solution feasibility and performance
• Real-world experience deploying and maintaining production machine learning use‑cases
• Passion for clean code and sustainable modular code for taking research ideas into production

The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.

We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.

Note:

Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce’s sole discretion unless and until paid and may be modified in its discretion consistent with the law.

This job is not eligible for bonuses, incentives or commissions.

Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.