TITLE: ML Applied Scientist
LOCATION: Primarily remote but candidate needs to be local to NYC to go into the office as needed. New York, NY 10011.
ANTICIPATED DURATION: 12 months
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
ML Applied Scientist Minimum Qualifications:
- Substantive experience solving real-world problems with LLMs
- Experience with LLM benchmarking and evaluation
- Experience applying software engineering best practices to ML development
- Strong research fundamentals
- Substantive experience with one or more LLM training or post-training paradigm
- Experience with PyTorch and/or MLX
- 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.
ML Applied Scientist Preferred Qualifications:
- Substantive experience with ML/AI development and evaluation, ideally in domains like natural language processing, natural language understanding, search, code generation, or language generation
- Extensive experience using LLMs to solve downstream ML/AI development problems, such as synthetic data generation, auto-labeling, and data curation
- Expertise in LLM fine-tuning and/or pre-training, bonus points for RL experience
- PyTorch and/or MLX expertise
- Publications in relevant conferences (NeurIPS, ICML, ACL, etc.) are a plus but not mandatory
The hourly pay rate range for this position is $125 to $134.75 (dependent on factors including but not limited to client requirements, experience, statutory considerations, and location). Benefits available to full-time employees: medical, dental, vision, disability, life insurance, 401k and commuter benefits.
Synergis is proud to be an Equal Opportunity Employer. We value diversity and do not discriminate on the basis of race, color, ethnicity, national origin, religion, age, gender, gender identity, political affiliation, sexual orientation, marital status, disability, military/veteran status, or any other status protected by applicable law.
Qualified applicants with arrest or conviction records will be considered for employment in accordance with the requirements of applicable state and local laws, including but not limited to, the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.
For immediate consideration, please forward your resume to dreeves@synergishr.com
If you require assistance or an accommodation in the application or employment process, please contact us at dreeves@synergishr.com.
Synergis is a workforce solutions partner serving thousands of businesses and job seekers nationwide. Our digital world has accelerated the need for businesses to build IT ecosystems that enable growth and innovation along with enhancing the Total Experience (TX). Synergis partners with our clients at the intersection of talent and transformation to scale their balanced teams of tech, digital and creative professionals. Learn more about Synergis at www.synergishr.com.
