Senior Research Scientist, Cohere Labs
CohereSalary not specified
Full Time
Senior (5 to 8 years), Expert & Leadership (9+ years)
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Healthcare, AI, HealthtechIndustries
Requirements
- Expertise in machine learning research, particularly with large language models (e.g., pretraining and fine-tuning architectures like Llama)
- Experience in end-to-end model development, including design, data creation, training, evaluation, and iteration
- Ability to drive applied research in clinical Natural Language Understanding and healthcare-specific challenges
- Strong collaboration skills with cross-functional teams, including PhD researchers, ML engineers, and healthcare experts
- Familiarity with Human-in-the-Loop feedback integration for model improvements
- Capability to incorporate qualitative insights from stakeholders to align models with real-world healthcare needs
- PhD-level background or equivalent in relevant field (implied by team composition and role seniority)
- US-based (for remote position)
Responsibilities
- Drive applied research: Lead the design, training, and evaluation of large language models to solve healthcare-specific challenges, advancing clinical Natural Language Understanding
- Leverage Human-in-the-Loop feedback: Work closely with cross-functional teams to integrate feedback data, guiding model improvements and exploring optimization methods
- Collaborate across teams: Partner with healthcare experts and stakeholders to integrate qualitative insights, ensuring models align with real-world needs and deliver meaningful results
- Contribute to model development end-to-end, from design and data creation to training, evaluation, and iteration
- Influence new research directions, support high-impact publications, and contribute to AKASA’s product offerings
Skills
Key technologies and capabilities for this role
Questions & Answers
Common questions about this position
What is the employment type for this role?
This is a full-time position.
What will I be working on as a Senior Machine Learning Researcher?
You'll work end-to-end on model design, data creation, training, evaluation, and iteration for advanced language models, including pretraining and fine-tuning architectures like Llama, balancing cutting-edge LLM innovation with practical healthcare impact.
Who will I collaborate with in this role?
You'll collaborate closely with a talented team of PhD researchers, ML engineers, and healthcare experts.
What is the company culture like at AKASA?
AKASA is certified as a 'Great Place to Work' for the past five years, fosters an exciting growth environment with record-breaking deals, and emphasizes building the future of healthcare with AI alongside exceptional people.
What qualifications make a strong candidate for this role?
Strong candidates will have expertise in advanced AI research, particularly with LLMs like Llama for pretraining and fine-tuning, and the ability to work end-to-end on models while collaborating with PhD-level teams in a healthcare context.
AKASA
Automates revenue cycle management processes
About AKASA
AKASA offers technology solutions that enhance efficiency and revenue outcomes for healthcare organizations by using a mix of computer vision-based Robotic Process Automation (RPA), machine learning, and human-in-the-loop automation. Their services streamline complex Revenue Cycle Management (RCM) workflows, allowing healthcare staff to focus on more meaningful tasks. Unlike competitors, AKASA specifically targets operational inefficiencies in revenue cycle departments, helping clients like Methodist Health System achieve significant gross yield increases. The company's goal is to empower healthcare organizations to improve their operational efficiency and patient experience.
San Francisco, CaliforniaHeadquarters
2018Year Founded
$199.4MTotal Funding
SERIES_CCompany Stage
AI & Machine Learning, HealthcareIndustries
51-200Employees
Benefits
Flexible vacation policy.
Generous coverage for health, dental, and vision insurance.
Free membership to One Medical for you and your family.
Health FSA account.
Full employee coverage for life insurance.
401K plan.
Risks
Generative AI adoption may increase competition, eroding AKASA's market share.
Healthcare's cautious approach may slow adoption of AKASA's new technologies.
Integration with existing EHR systems may pose implementation challenges for AKASA.
Differentiation
AKASA uses AI to automate complex revenue cycle tasks in healthcare.
Their solutions decrease A/R days by 13% and increase efficiency by 86%.
AKASA's tailored AI models outperform generic models like GPT-4 by up to 40%.
Upsides
AKASA's GenAI solutions reduce prior authorization time by up to 50%.
Over 70% of healthcare organizations are exploring generative AI for revenue cycle management.
AKASA's Medical Coding enhances efficiency and accuracy in the $23B medical coding field.
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