What are the responsibilities and job description for the Senior Machine Learning Engineer position at Kelly Science, Engineering, Technology & Telecom?
Job Title : ML Applied Scientist | ML Research Engineer
Pay rate : Can go up to $135 per hour
Duration : 12 months
W2 contract only (No C2C)
Location- New York, NY, 10011 (100% Remote, local to New York Office)
Location
Strong preference for candidates located in New York City. Candidates in Seattle (WA) and Cupertino (CA) are also acceptable.
Description
Help us transform how machine learning and artificial intelligence systems are evaluated. Our team conducts research, builds tools, and develops systems that help improve, refine, and scale evaluation. We’re looking for technical staff members with strong backgrounds in applied AI / ML who are passionate about solving high-impact problems and advancing the state-of-the-art in the domain of evaluation.
This role will be multifunctional. You will collaborate closely with highly skilled machine learning researchers and engineers, socio-technical research scientists, software engineers, and domain experts to help develop and deliver groundbreaking advances to mission-critical evaluation programs and methods.
We believe the most exciting problems in machine learning research arise at the intersection with real-world use cases and that this is also where the most critical breakthroughs come from. In this role, you will identify and operationalize problems, prototype solutions, and deliver results.
As a ML Applied Scientist, you will
- Become intimately familiar with product use cases, requirements, and data in order to develop the insights required for solving hard evaluation problems
- Develop models and systems that reliably solve complex evaluation problems
- Develop and refine benchmarks that help feature engineers advance the state-of-the-art
- Research and develop methodological innovations that advance the state-of-the-art in AI evaluation
- Collaborate on an applied R&D team that is oriented around principles of continuous delivery, iterative development, and fault tolerance
Minimum Qualifications
Preferred Qualifications
Minimum Education & Experience
6 years of relevant industry experience with a Bachelor's degree; or 4 years with a Master's degree; or a PhD 3 years industry experience; or equivalent work experience.
Salary : $135
