Research Engineer
Summary
Cutting-edge machine learning systems research with Python and PyTorch, including large language models, experiments, collaboration, and publishing results. Hybrid, 6-month duration, requires 2+ years’ experience, a bachelor’s degree, and may consider arrest/conviction records.
Highlights
- Benefits
- Medical, dental, vision, disability, life insurance
- Work Arrangement
- Hybrid
- Experience
- 2+ years in machine learning, AI, or related areas
- Education
- Bachelor's degree required; PhD or research-focused Master's preferred
- Department
- Fundamental AI Research (FAIR)
Job description
Title: Research Engineer
Location: Menlo Park, CA (Hybrid)
Duration: 6 months (Possibility of extension)
Pay: 70-78/hr on W2
Summary:
We are seeking Research Engineers to join Fundamental AI Research (FAIR). We are committed to advancing the field of artificial intelligence by making fundamental advances in technologies to help interact with and understand our world. We are seeking individuals passionate in solving systems challenges to sustainably accelerate our reach to human-level intelligence. Candidates will have an opportunity to make fundamental advances in systems and apply their ideas at an unprecedented scale..
Responsibilities
Carry out cutting-edge research to advance the science and technology of machine learning systems.
Design methods, tools, and infrastructure to push forward the state of the art in large language models.
Collaborate with researchers and cross-functional partners including communicating research plans, progress, and results.
Suggest, collect and synthesize requirements and create an effective feature roadmap.
Code deliverables in tandem with the engineering team.
Publish research results and contribute to research that impacts *** product development.
Minimum Qualifications
Preferred Qualifications
At Tailored Management, we help people get jobs and take pride in their work, so we better take pride in ours too. Not every company has the opportunity to meaningfully and directly impact individuals in a way that makes their lives tangibly better. To better support our employees, we offer a wide variety of benefit options to support you. We offer:
Pursuant to the California Fair Chance Act, Los Angeles County Fair Chance Ordinance for Employers, Los Angeles Fair Chance Initiative for Hiring Ordinance, and San Francisco Fair Chance Ordinance, qualified applicants will be considered for assignment with arrest and conviction records. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness, meet client expectations, standards, and accompanying requirements, and safeguard business operations and company reputation.
#TMMT
Location: Menlo Park, CA (Hybrid)
Duration: 6 months (Possibility of extension)
Pay: 70-78/hr on W2
Summary:
We are seeking Research Engineers to join Fundamental AI Research (FAIR). We are committed to advancing the field of artificial intelligence by making fundamental advances in technologies to help interact with and understand our world. We are seeking individuals passionate in solving systems challenges to sustainably accelerate our reach to human-level intelligence. Candidates will have an opportunity to make fundamental advances in systems and apply their ideas at an unprecedented scale..
Responsibilities
Carry out cutting-edge research to advance the science and technology of machine learning systems.
Design methods, tools, and infrastructure to push forward the state of the art in large language models.
Collaborate with researchers and cross-functional partners including communicating research plans, progress, and results.
Suggest, collect and synthesize requirements and create an effective feature roadmap.
Code deliverables in tandem with the engineering team.
Publish research results and contribute to research that impacts *** product development.
Minimum Qualifications
- 2+ years of hands-on experience in one or more of the following areas: machine learning, recommendation systems, pattern recognition, data mining or artificial intelligence
- Experience with developing machine learning models at scale, such as programmatically querying LLMs and LLM post-training.
- Programming experience in Python and hands-on experience with frameworks such as PyTorch.
- Experience writing software and executing complex experiments involving large AI models and datasets.
- Proven experience to translate insights into business recommendations
- Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
Preferred Qualifications
- Direct experience in generative AI and LLM research
- PhD degree or research focused Master degree in ML areas
At Tailored Management, we help people get jobs and take pride in their work, so we better take pride in ours too. Not every company has the opportunity to meaningfully and directly impact individuals in a way that makes their lives tangibly better. To better support our employees, we offer a wide variety of benefit options to support you. We offer:
- Medical Coverage – HDHP, PPO, and Surest plan options
- Minimum Essential Coverage (MEC)
- Dental Insurance
- Vision Insurance
- Short-Term Disability (STD)
- Long-Term Disability (LTD)
- Life & AD&D Insurance
- Critical Illness Insurance
- Accident Insurance
- Employee Assistance Program (EAP)
Pursuant to the California Fair Chance Act, Los Angeles County Fair Chance Ordinance for Employers, Los Angeles Fair Chance Initiative for Hiring Ordinance, and San Francisco Fair Chance Ordinance, qualified applicants will be considered for assignment with arrest and conviction records. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness, meet client expectations, standards, and accompanying requirements, and safeguard business operations and company reputation.
#TMMT