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Machine Learning Engineer, Safety

Harrison Clarke
Union City, CA, United States
2 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Job source
www.disabledperson.com

Tech stack

Machine Learning Large Language Models

Job description

  • Evaluation and oversight systems for advanced reasoning and agentic behaviour
  • Red-teaming and adversarial testing - turning findings into real model and training improvements
  • Safety-focused post-training, reward modelling, and guardrails
  • Identifying and mitigating failure modes in complex, multi-step reasoning

Requirements

  • Strong ML engineering skills and hands-on experience with LLMs / foundation models
  • Work in one or more of: post-training (SFT/RL/RLHF), evals, red-teaming, alignment, or safety infrastructure
  • A bias toward shipping and owning problems end-to-end in an ambiguous environment
  • Real interest in the hard problems of frontier AI safety

Benefits & conditions

  • Highly competitive compensation

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

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Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

Moments

Explore playlists

3:32 min

Fundamentals and limitations of large language models

Krzystof Czieslak · LIVE

2:52 min

Introduction to safety-critical machine learning in automotive contexts

Jan Zawadzki · World Congress 2022

2:36 min

Applying supervised machine learning for practical rule extraction

Katja Träumner

3:01 min

Transitioning into the automotive artificial intelligence safety field

Tillman Radmer +2 · World Congress 2021

1:57 min

Evolution of machine learning algorithms and computing hardware

Alexandra Waldherr · LIVE

2:25 min

Understanding the evolution and nature of large language models

Krzysztof Cieślak Krzysztof Cieślak · World Congress 2024

Videos

See all
Creating Industry ready solutions with LLM Models thumbnail
58:00
LIVE • over 2 years ago

Creating Industry ready solutions with LLM Models

Vijay Krishan Gupta, Gauravdeep Singh Lotey

Staying Safe in the AI Future thumbnail
27:26
World Congress 2022 • over 4 years ago

Staying Safe in the AI Future

Cassie Kozyrkov

Introduction to Azure Machine Learning thumbnail
54:27
LIVE • over 4 years ago

Introduction to Azure Machine Learning

Jose Luis Latorre Millas

What non-automotive Machine Learning projects can learn from automotive Machine Learning projects thumbnail
48:01
World Congress 2022 • over 4 years ago

What non-automotive Machine Learning projects can learn from automotive Machine Learning projects

Jan Zawadzki

Bringing the power of AI to your application. thumbnail
32:26
World Congress 2024 • about 2 years ago

Bringing the power of AI to your application.

Krzysztof Cieślak

How Machine Learning is turning the Automotive Industry upside down thumbnail
26:55
LIVE • almost 6 years ago

How Machine Learning is turning the Automotive Industry upside down

Jan Zawadzki

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