AKASA · 3 days ago
Sr. Machine Learning Researcher
United States
Full-time
Remote
Mid, Senior Level
$175K/yr - $230K/yr
2+ years exp
Maximize your interview chancesIT Services and IT Consulting
Insider Connection @AKASA
Get 3x more responses when you reach out via email instead of LinkedIn.
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
Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.
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.
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.
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.
Preferred
Experience with modeling in the healthcare domain, clinical natural language understanding, and healthcare data and data standards (e.g., EDI, FHIR) is strongly preferred.
Peer-reviewed publications in top AI conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, ACL, NAACL, and EMNLP) strongly preferred.
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
Healthcare revenue cycle teams are strained. Volumes are rising, margins are constricting, and hiring and retaining enough staff is impossible.
51-200 employees
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
2023 (1)
2022 (6)
2021 (7)
Funding
Current Stage
Growth StageLeadership Team
Malinka Walaliyadde
CEO and Cofounder
Varun Ganapathi
Chief Technology Officer
Recent News
Business Standard (India)
2024-03-21
2024-03-20
Times of India
2024-02-21
Company data provided by crunchbase
