Responsibilities
- Contribute to creating advanced machine learning solutions for complex healthcare challenges
- Manage full lifecycle development of machine learning services, from identifying problems to deploying scalable services
- Build and refine data pipelines that gather, clean, and deliver high-quality data
- Develop robust, efficient, and thoroughly tested production software
- Design cutting-edge machine learning models in areas such as large language models, probabilistic reasoning, and computer vision
- Create custom machine learning models tailored to specific applications, with machine learning as the foundational component
Benefits
- Flexible paid time off policy
- Comprehensive health, dental, and vision insurance coverage
- Employer contributions to Health Savings Accounts
- Generous parental leave for new parents
- Company-provided life insurance for all employees
- Stipend to support home office setup
- Reimbursement for cell phone and internet expenses
- Paid company holidays
- 401(K) retirement savings plan
Work Arrangement
Hybrid — South San Francisco
Other
- Team members are expected to attend in-person co-working sessions every Wednesday in South San Francisco
- The company is an equal opportunity employer committed to diversity and inclusion
- Individuals of all backgrounds, including differences in gender, race, ethnicity, abilities, and sexual orientation, are encouraged to apply
- Hiring decisions are made without regard to any protected class status
- Applicants are considered fairly, including those with criminal records, in compliance with local ordinances
- Candidates with disabilities are supported through reasonable accommodations during hiring
- For accommodation requests, contact recruiting@akasa.com
