As a remote Sr. Machine Learning Researcher, you’ll report to our CTO and work with a team of talented engineers from top schools who have professional experience with leading companies. You will partner closely with a strong team of PhD Researchers and Machine Learning Engineers.
AKASA is based in South San Francisco. As a company, we embraced remote work. We consider ourselves experts in working collaboratively wherever our team members reside.
What You’ll Do
- Train or Fine-Tune Large Language Models (e.g., Llama architecture) for Healthcare Applications
- Create innovative AI/ML solutions to address real-world human health and healthcare problems
- Keep up to date with the technological improvements within the AI/ML community and decide when those developments warrant incorporation
Skills & Qualifications
- Professional experience with training Large Language Models
- Experience working with healthcare data (e.g., EDI, FHIR)
- A passion for working on important and impactful human health and healthcare problems
- Ph.D. or equivalent industry experience related to AI, computer vision, natural language processing, computational neuroscience, optimization, computer science, statistics, applied mathematics, or data science.
- Publications at peer-reviewed AI conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, ACL, NAACL, and EMNLP) are preferred.
- Experience in rapid prototyping and quick experimentation and proficiency in writing code that others can understand, adapt and extend
- Ability to multitask effectively under pressure and quickly adapt within a fast-paced environment with strong written and verbal communication skills
What We Offer
- Unlimited paid time off (PTO)
- Expansive coverage for health, dental, and vision
- Employer contribution to Health Savings Accounts (HSA)
- Generous parental leave policy
- Full employee coverage for life insurance
- Company-paid holidays
- 401(K) plan
Compensation
- Based on market data and other factors, the salary range for this position is $175,000-$230,000 + Equity. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.
The above represents the expected salary range for this job requisition. Ultimately, in determining your pay, we’ll consider your location, experience, and other job-related factors.
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