Sr. Machine Learning Researcher jobs in United States
cer-icon
Apply on Employer Site
company-logo

AKASA · 1 week ago

Sr. Machine Learning Researcher

AKASA is a leading provider of generative AI solutions for the healthcare revenue cycle, aiming to transform healthcare operations. As a Senior Machine Learning Researcher, you will develop advanced AI models to enhance efficiency and precision in healthcare workflows, collaborating with a team of experts to drive impactful research and product innovation.

Computer Software
check
H1B Sponsor Likelynote

Responsibilities

Drive Applied Research: Lead the design, training, and evaluation of large language models to solve healthcare-specific challenges, advancing the state of the art in clinical Natural Language Understanding
Leverage Human-in-the-Loop Feedback: Work closely with cross-functional teams to integrate Human-in-the-Loop data, using it to guide model improvements and explore new methods for optimizing performance
Collaborate Across Teams: Partner with healthcare experts and other stakeholders to integrate qualitative insights, ensuring models align with real-world needs and deliver meaningful results
Stay on the Cutting Edge: Regularly evaluate advancements in ML to determine their relevance to our work, maintaining AKASA’s leading edge in responsible, high-impact healthcare AI
Contribute to Broader Impact: Publish and share research findings in the broader AI community, helping to advance healthcare applications of AI through peer-reviewed publications

Qualification

Large language modelsNatural language processingHealthcare data standardsPython programmingDeep learning frameworksCloud platformsCross-functional collaborationCommunication skills

Required

A passion for tackling meaningful healthcare challenges and leveraging AI to make a positive impact on the healthcare system
Proven experience training and fine-tuning large language models, with expertise in model architecture, optimization techniques, and performance evaluation
Experience with modeling in the healthcare domain, clinical natural language understanding, and healthcare data and data standards (e.g., EDI, FHIR) is strongly preferred
Ph.D. or equivalent industry experience in fields related to machine learning, natural language processing, computer vision, computer science, electrical engineering, statistics, mathematics, optimization, or data science, plus 2-3 years of experience
Peer-reviewed publications in top AI conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, ACL, NAACL, and EMNLP) strongly preferred
Strong programming skills in Python, with proficiency in deep learning frameworks and tools such as PyTorch, TensorFlow, PyTorch Lightning, Hugging Face Transformers, and Kubernetes/Kubeflow
Experience with cloud platforms (AWS, GCP) and multi-GPU environments
A track record of translating research into real-world applications, with experience in rapid prototyping, experimentation, and writing production-ready code
Ability to work effectively in a cross-functional, fast-paced environment, with strong written and verbal communication skills

Benefits

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

Company

AKASA

twitter
company-logo
Healthcare revenue cycle teams are strained. Volumes are rising, margins are constricting, and hiring and retaining enough staff is impossible.

H1B Sponsorship

AKASA has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2024 (5)
2023 (1)
2022 (8)
2021 (2)

Funding

Current Stage
Growth Stage

Leadership Team

leader-logo
Malinka Walaliyadde
CEO and Cofounder
linkedin
leader-logo
Varun Ganapathi
Chief Technology Officer
linkedin
Company data provided by crunchbase