Description:

The Software Engineer, Machine Learning will collaborate with a senior research team member on cutting-edge deep learning projects, infrastructure, and tooling.
Responsibilities include implementing research papers, conducting experiments, enhancing knowledge of LLM fundamentals, optimizing hyperparameters, collaborating on infrastructure, improving datasets, and developing effective LLM models.
Example projects involve implementing research improvements, testing new techniques, optimizing LLM behavior, performing hyperparameter sweeps, developing monitoring systems, and enhancing datasets.

Requirements:

Proficiency in Python and experience with PyTorch for training deep neural networks.
Enthusiasm for open-source projects and adherence to engineering best practices.
Ability to work independently, execute tasks efficiently, and contribute to research-based improvements.
Understanding of LLM knowledge, inference, infrastructure collaboration, and dataset enhancement.

Competitive Salary: $175,000 - $325,000 annually.
Health Insurance: Comprehensive medical, dental, and vision coverage.
Retirement Plans: 401(k) plan with company matching.
Paid Time Off: Generous PTO policy including vacation, sick leave, and holidays.
Professional Development: Opportunities for continuous learning and career growth.
Flexible Work Arrangements: Options for remote work and flexible scheduling.
Parental Leave: Paid leave for new parents.
Wellness Programs: Access to mental health resources, wellness programs, and fitness reimbursements.
Employee Assistance Program: Support for personal and professional issues.
Stock Options: Equity options for company success.
Commuter Benefits: Pre-tax benefits for public transportation and parking.
Technology Stipend: Annual stipend for tech equipment and home office setup.
Company Events: Regular team-building activities, social events, and retreats.
Diversity and Inclusion: Commitment to fostering an inclusive and diverse workplace.