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Quick apply
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Contract Machine Learning Engineer Biotech information
What is the difference between Contract Machine Learning Engineer Biotech vs Contract Data Scientist Biotech?
| Aspect | Contract Machine Learning Engineer Biotech | Contract Data Scientist Biotech |
|---|---|---|
| Credentials | Degree in Computer Science, Data Science, or related field; experience with ML frameworks | Degree in Statistics, Data Science, or related; strong analytical skills |
| Work Environment | Develops ML models, algorithms, and pipelines for biotech applications | Analyzes data, builds statistical models, and interprets biological data |
| Industry Usage | Used in biotech R&D, drug discovery, and personalized medicine | Applied in clinical data analysis, biomarker discovery, and research |
Contract Machine Learning Engineers focus on developing and deploying ML models specific to biotech challenges, while Contract Data Scientists analyze biological data to extract insights. Both roles require strong technical skills but differ in their primary focus—model development versus data analysis.
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Posted yesterday
Job description
Goodfire is a research company focused on building safe and powerful AI systems. They are seeking a Machine Learning Engineer to contribute to the development of tools and infrastructure for interpretable AI systems, playing a key role in transforming research into usable product features.
Responsibilities:
• Turn cutting edge interpretability research into production ready tools.
• Optimize pipelines and infrastructure for frontier model interpretability, training, and inference.
• Integrate new machine learning workflows and pipelines into our product and deploy to customers.
• Ensure system reliability, reproducibility, and performance.
Qualifications:
Required:
• 5+ years of experience in ML infra, research engineering, or systems programming.
• Comfort working across research and engineering boundaries.
• Expertise in Python, PyTorch or Jax, and distributed systems.
• Experience deploying and maintaining ML systems at scale.
• You care about understanding how models work internally and using that to make them more reliable and useful in the real world.
Preferred:
• Open-source ML infra contributions.
• Startup or frontier lab experience in fast-moving teams.
Company:
Goodfire is an AI research lab using interpretability to turn AI into something that can be understood, debugged, and shaped like software Founded in 2024, the company is headquartered in San Francisco, USA, with a team of 11-50 employees. The company is currently Early Stage.