Senior ML Research Scientist

Job summary

The ML Research Scientist will design and implement innovative ML models to address complex AI safety problems. They will collaborate with other researchers to integrate theoretical advancements into practical applications and validate their findings through experimental protocols.

Job details

The ML Research Scientist will design and implement innovative ML models to address complex AI safety problems. They will collaborate with other researchers to integrate theoretical advancements into practical applications and validate their findings through experimental protocols. Candidates should have an advanced degree in a relevant field and 3-5 years of experience in deep learning research, particularly with frontier models. Proven expertise in ML libraries and strong communication skills are essential.

What you’ll do

The ML Research Scientist will design and implement innovative ML models to address complex AI safety problems. They will collaborate with other researchers to integrate theoretical advancements into practical applications and validate their findings through experimental protocols.

Requirements

Candidates should have an advanced degree in a relevant field and 3-5 years of experience in deep learning research, particularly with frontier models. Proven expertise in ML libraries and strong communication skills are essential.

Benefits

• Health Benefits
• Vacation
• Retirement Savings Contribution
• Flexible Benefits

Listed skills

• Machine learning · Preferred
• Python · Preferred
• Data analysis · Preferred
• Communication Skills · Preferred
• Team Collaboration · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

• Machine Learning
• Deep Learning
• Python
• PyTorch
• TensorFlow
• JAX
• Version Control
• Collaboration Tools
• Experiment Management
• Data Analysis
• Model Training
• Model Evaluation
• Communication Skills
• Team Collaboration
• AI Safety
• Natural Language Processing

Job areas

• Technology
• Science & Research
• Data & Analytics
• Engineering

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