200+ applicants
Probably Genetic · 3 days ago
Machine Learning Engineer
San Francisco, CA
Full-time
Hybrid
Mid Level
$137K/yr - $202K/yr
4+ years exp
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Responsibilities
Develop groundbreaking machine learning systems to change the lives of patients living with severe, complex diseases
Shape and execute the machine learning strategy in collaboration with the Machine Learning Lead and CTO
Design and orchestrate machine learning experiments to improve patient identification models' accuracy
Work closely with engineering, growth, and business development teams to integrate machine learning strategy into all business aspects
Own key patient finding metrics aligning with company goals
Qualification
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Required
Advanced degree in Computer Science, Artificial Intelligence, Bioinformatics, or a related field with a strong emphasis on machine learning
Minimum of 4 years of experience in machine learning
Deep understanding of statistics and Bayesian modeling
Experience in training deep learning and computer vision models as well as classical ML models
Experience in designing and maintaining robust machine learning pipelines from training and monitoring to deployment, ensuring scalability and reliability
Excellent communication skills with the ability to articulate complex technical concepts to non-technical stakeholders, ensuring alignment and understanding across diverse teams
Experience in managing complex project and experiment timelines with cross-functional dependencies to deliver accurate models on time
Preferred
Experience with language model implementation, specifically using LLMs for retrieval-augmented generation (RAG) and complex automation workflows
Expertise in developing and implementing machine learning products for severe, complex disease identification and phenotyping
Experience with language model implementation, specifically using LLMs for retrieval-augmented generation (RAG) and complex automation workflows
Expertise in developing and implementing machine learning products for severe, complex disease identification and phenotyping
Benefits
Generous Flexible Time Off policy
Hybrid, flexible work
A 'work from anywhere' policy, up to 4 weeks a year
Competitive equity grants
All-expenses paid quarterly team retreats
Benefits including medical and dental
Company
Probably Genetic
Probably Genetic helps rare genetic disease patients.
2-10 employees
Funding
Current Stage
Early StageTotal Funding
$10.87MKey Investors
Y Combinator
2023-11-01Series Unknown· $10.72M
2022-01-01Angel· Undisclosed
2020-05-05Seed· Undisclosed
Leadership Team
Lukas Lange
CEO and Co-Founder
Harley Katz
CTO and Co-Founder
Company data provided by crunchbase
