AKASA

Sr. Machine Learning Researcher

AKASA3 months ago
Location

Remote - United States

Workplace

Remote

Type

Full Time

Salary

USD 175,000 – 230,000

Level

Senior

Role

Machine Learning Researcher

Posted

Dec 2, 2025

Full TimeRemoteSenior

The role

Summary

AKASA is seeking a Senior Machine Learning Researcher to pioneer advanced AI solutions transforming healthcare operations. The ideal candidate will develop and fine-tune large language models, collaborating with interdisciplinary teams to create innovative AI tools that enhance healthcare professionals' efficiency and precision in complex operational workflows.

What you'll do

Drive Applied Research: Lead design, training, and evaluation of large language models to solve healthcare-specific challenges, advancing the state of the art in clinical Natural Language Understanding
Human-in-the-Loop Integration: Collaborate with cross-functional teams to integrate human feedback for model improvements and performance optimization
Cross-Team Collaboration: Partner with healthcare experts to ensure models align with real-world needs and deliver meaningful results
Technology Evaluation: Continuously assess advancements in machine learning to maintain AKASA's leading edge in responsible, high-impact healthcare AI
Research Dissemination: Publish and share research findings in the broader AI community to advance healthcare applications of AI

What we look for

Technical

Large Language Model ExpertiseProven experience in training and fine-tuning large language models with deep understanding of model architecture and optimization techniques
Programming SkillsAdvanced Python programming with proficiency in deep learning frameworks like PyTorch, TensorFlow, and Hugging Face Transformers
Cloud and Distributed ComputingExperience with cloud platforms (AWS, GCP), Kubernetes/Kubeflow, and multi-GPU environments

Education

Advanced DegreePh.D. in Machine Learning, Natural Language Processing, Computer Science, Electrical Engineering, Statistics, Mathematics, or related field

Experience

Research Experience2-3 years of industry experience with strong preference for peer-reviewed publications in top AI conferences
Healthcare Domain KnowledgeExperience with clinical natural language understanding and healthcare data standards (EDI, FHIR) is highly preferred

Skills

Required skills

Large Language Model TrainingExpertise in training, fine-tuning, and evaluating advanced language models
Python ProgrammingStrong programming skills with deep learning and AI frameworks
Cross-Functional CollaborationAbility to work effectively in fast-paced, interdisciplinary environments

Nice to have

Healthcare AIExperience applying machine learning solutions in healthcare contexts
Research PublicationTrack record of publishing in top-tier AI and machine learning conferences

Compensation & benefits

Salary

USD 175,000 – 230,000 (annual)

Stock options

Available

Benefits

Flexible PTO

Flexible paid time off policy

Healthcare Coverage

Comprehensive health, dental, and vision insurance

HSA Contribution

Employer contribution to Health Savings Accounts

Parental Leave

Generous parental leave policy

Home Office Support

Home office stipend and cell phone/internet reimbursement

Retirement Plan

401(K) plan

Life Insurance

Full employee coverage for life insurance

Interview process

  1. 1
    Initial Screening — Preliminary resume and background review
  2. 2
    Technical Interview — In-depth discussion of machine learning expertise and research experience
  3. 3
    Research Presentation — Candidate presents previous research work and approach to healthcare AI challenges
  4. 4
    Team Collaboration Interview — Assessment of cross-functional communication and teamwork skills
  5. 5
    Final Leadership Interview — Discussion with senior leadership about research vision and alignment with company mission
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AKASA

AKASA

View all jobs

AKASA uses artificial intelligence and machine learning to automate health systems and hospital revenue cycle operations, improving efficiency and reducing administrative costs.

South San Francisco, CA, USAFounded 2017akasa.com

Tech Stack

Languages
Python
Frameworks
PyTorchTensorFlowHugging Face Transformers
Tools
KubernetesKubeflow
Other
AWSGCP
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