Payrate: $60.00 - $70.00/hr.
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 Company product development.
Requirements
- 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.
Skills
- Direct experience in generative AI and LLM research.
- PhD degree or research-focused Master's degree in ML areas.
Pay Transparency: The typical base pay for this role across the U.S. is: $60.00 - $70.00 /hour. Non-exempt positions are eligible for overtime at a rate of 1.5 times the base hourly rate for all hours worked in excess of 40 in a work week, or as required by state or local law. Final offer amounts, within the base pay set forth above, are determined by factors including your relevant skills, education and experience. Full-time employees are eligible to select from different benefits packages. Packages may include medical, dental, and vision benefits, health savings accounts with qualified medical plan enrollment, 10 paid days off, 3 days paid bereavement leave, 401(k) plan participation with employer match, life and disability insurance, commuter benefits, dependent care flexible spending account, accident insurance, critical illness insurance, hospital indemnity insurance, accommodations and reimbursement for work travel, and discretionary performance or recognition bonus. Sick leave and mobile phone reimbursement provided based on state or local law.
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