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ML Engineer, Forward Deployed(m/w/x)
Deploying breakthrough foundation models for structured data directly with strategic partners, integrating with Databricks and Snowflake. Track record of deploying ML systems with PyTorch/Scikit-learn and Databricks/Snowflake experience required. Meaningful equity, 30 days paid vacation.
Requirements
- Strong engineering fundamentals
- Expert-level Python skills
- Experience with PyTorch and Scikit-learn
- Track record of deploying ML systems
- Experience with Databricks or Snowflake
- Strategic problem-solving mindset
- Commitment to clean, maintainable code
- Experience in technical customer-facing roles (Bonus)
- Contributions to open-source projects (Bonus)
- Proficiency with cloud platforms (Bonus)
- Expertise in APIs and integration (Bonus)
- Strong communication skills (Bonus)
Tasks
- Deploy models directly with strategic partners
- Ensure clients achieve tangible business outcomes
- Design integrations with Databricks and Snowflake
- Implement solutions within complex enterprise ecosystems
- Customize AI models for diverse use cases
- Optimize model performance and scalability
- Gather deployment insights to influence product development
- Translate ML research into production-ready solutions
- Collaborate with researchers and product managers
Work Experience
- approx. 1 - 4 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- PyTorch
- Scikit-learn
- Databricks
- Snowflake
- AWS
- GCP
- Azure
- APIs
Benefits
Other Benefits
- Meaningful equity
- Public holidays
More Vacation Days
- 30 days paid vacation
Healthcare & Fitness
- Healthcare
- Fitness
Parking & Commuter Benefits
- Transportation
Modern Equipment
- State-of-the-art ML architecture
- Substantial compute resources
Informal Culture
- World-class team
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ML Engineer, Forward Deployed(m/w/x)
Deploying breakthrough foundation models for structured data directly with strategic partners, integrating with Databricks and Snowflake. Track record of deploying ML systems with PyTorch/Scikit-learn and Databricks/Snowflake experience required. Meaningful equity, 30 days paid vacation.
Requirements
- Strong engineering fundamentals
- Expert-level Python skills
- Experience with PyTorch and Scikit-learn
- Track record of deploying ML systems
- Experience with Databricks or Snowflake
- Strategic problem-solving mindset
- Commitment to clean, maintainable code
- Experience in technical customer-facing roles (Bonus)
- Contributions to open-source projects (Bonus)
- Proficiency with cloud platforms (Bonus)
- Expertise in APIs and integration (Bonus)
- Strong communication skills (Bonus)
Tasks
- Deploy models directly with strategic partners
- Ensure clients achieve tangible business outcomes
- Design integrations with Databricks and Snowflake
- Implement solutions within complex enterprise ecosystems
- Customize AI models for diverse use cases
- Optimize model performance and scalability
- Gather deployment insights to influence product development
- Translate ML research into production-ready solutions
- Collaborate with researchers and product managers
Work Experience
- approx. 1 - 4 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- PyTorch
- Scikit-learn
- Databricks
- Snowflake
- AWS
- GCP
- Azure
- APIs
Benefits
Other Benefits
- Meaningful equity
- Public holidays
More Vacation Days
- 30 days paid vacation
Healthcare & Fitness
- Healthcare
- Fitness
Parking & Commuter Benefits
- Transportation
Modern Equipment
- State-of-the-art ML architecture
- Substantial compute resources
Informal Culture
- World-class team
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
About the Company
Prior Labs
Industry
Science
Description
The company is building breakthrough foundation models that understand structured data, aiming to revolutionize scientific discovery and business intelligence.
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