Machine Learning Engineer l at Cohere Health

United States

Cohere Health Logo
Not SpecifiedCompensation
Junior (1 to 2 years)Experience Level
Full TimeJob Type
UnknownVisa
HealthcareIndustries

Requirements

  • 1+ years experience in applied ML in the industry with a masters degree in computer science, machine learning, mathematics or a similar field
  • Clear understanding of model building, model maintenance and the measures that optimize models for production use
  • Understand experimental design and can independently perform collection, measurement, and interpretation of results
  • Expert in Python with experience in deep learning frameworks (e.g., PyTorch)
  • Hands on experience building deep learning models (e.g., transformers) for NLP tasks

Responsibilities

  • Design, develop and deploy advanced machine learning algorithms for retrieval, classification and generative use cases
  • Develop reliable and scalable production machine learning systems
  • Write and maintain reusable codebases to perform data preprocessing, model training, evaluation, and deployment
  • Work cross-functionally with diverse stakeholders, including product managers, clinicians, and technical leadership to align ML solutions with Cohere’s core objectives

Skills

Key technologies and capabilities for this role

PythonPyTorchTransformersNLPMachine LearningDeep LearningRetrieval Augmented GenerationGenerative AIData PreprocessingModel Deployment

Questions & Answers

Common questions about this position

What is the salary range for the Machine Learning Engineer position?

The salary range is $95,000.00 to $110,000.00 annually, as part of a total benefits package which includes health insurance, 401k, and bonus. Individual pay decisions are based on factors like qualifications, experience, and skills.

Is this a remote position, and what's the travel requirement?

This is a fully remote opportunity with about 10% travel.

What skills are required for this Machine Learning Engineer role?

Required skills include 1+ years of applied ML experience with a master's degree in a relevant field, expertise in Python and deep learning frameworks like PyTorch, hands-on experience with deep learning models for NLP tasks, understanding of model building/maintenance, and experimental design skills.

What is the company culture like at Cohere Health?

Cohere values empathetic, candid, kind, and caring teammates who embody core values. They emphasize diverse, inclusive teams in a supportive, growth-oriented environment.

What makes a strong candidate for this role?

Strong candidates have 1+ years of industry ML experience with a relevant master's degree, Python and PyTorch expertise, NLP model-building experience, and bonus for generative AI, healthcare data, OCR, or AWS SageMaker.

Cohere Health

Automates prior authorization in healthcare

About Cohere Health

Cohere Health improves the prior authorization process in healthcare, which requires providers to get approval from health plans before delivering certain services. Their platform, Cohere Unify, automates and streamlines these requests by integrating with electronic medical records and using technologies like optical character recognition and machine learning. This approach allows for faster decision-making and reduces delays in patient care. The goal is to make the prior authorization process more efficient, benefiting healthcare providers, health plans, and patients.

Boston, MassachusettsHeadquarters
2019Year Founded
$103.1MTotal Funding
LATE_VCCompany Stage
AI & Machine Learning, HealthcareIndustries
501-1,000Employees

Benefits

Health Insurance
401(k) Company Match
Performance Bonus
Remote Work Options

Risks

Increased competition from AI-driven startups like Abridge threatens market share.
Flat healthcare IT deal activity may impact future funding opportunities.
Dependency on Humana partnership poses risk if challenges arise in the relationship.

Differentiation

Cohere Health automates prior authorization, reducing delays and administrative burdens.
The Cohere Unify platform integrates with EMR and uses OCR for fax submissions.
Machine learning and AI enhance decision-making based on health plan policies.

Upsides

Humana expanded Cohere's platform use, showing trust and potential for more partnerships.
Cohere raised $50 million, indicating strong investor confidence and growth potential.
KLAS award recognition highlights effectiveness, attracting more healthcare providers.

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