Applied Methods
~The MetaResearch & ScienceResearch Engineer

Research Engineer

Research Engineers at these organizations work across the full stack—from implementing cutting-edge algorithms and optimizing models for specialized hardware, to building scalable infrastructure that translates research prototypes into production systems. They combine deep machine learning expertise with strong software engineering skills, often bridging gaps between research scientists and infrastructure teams to accelerate progress on frontier AI problems like inference optimization, reinforcement learning for robotics and reasoning, multimodal generation, and agentic systems. These roles typically sit within research teams that collaborate closely with product and infrastructure groups, requiring engineers to balance scientific rigor with practical engineering constraints while contributing to publications and deployments that advance the field.

$ titles --canonical
Research EngineerSenior Research EngineerStaff Research EngineerML Research EngineerAI Research Engineer
77open jobs
24companies hiring
$02

Skills

What companies are looking for in this role.

$ skills --core

Implementing and optimizing machine learning models across the full training and inference pipeline

95%

Designing and conducting rigorous scientific experiments to evaluate model capabilities and performance

92%

Translating research prototypes into production-ready systems and infrastructure

88%

Developing scalable distributed systems for large-scale model training and inference

88%

Optimizing computational performance through low-level systems programming and hardware-aware algorithms

85%

Evaluating and benchmarking model capabilities with domain-specific metrics and evaluation frameworks

85%

Building and maintaining robust data pipelines for preprocessing, curation, and generation at scale

82%

Developing novel algorithms and techniques for reinforcement learning and model training

80%
$ skills --emerging

Developing agentic systems that can autonomously perform multi-step complex tasks

72%

Interpreting and understanding the internal mechanisms and behavior of deep learning models

68%

Designing and implementing multimodal learning systems that integrate multiple data modalities

65%

Implementing techniques for efficient model compression, quantization, and sparsity

62%

Building systems to evaluate and ensure safety, security, and reliability of AI agents

58%
$ skills --soft

Collaborating across multidisciplinary teams to integrate research insights into products

85%

Leading research projects with clear problem definition, hypothesis formation, and iterative refinement

80%

Communicating complex technical concepts and research findings clearly to diverse audiences

75%

Balancing research ambitions with practical engineering constraints and timelines

72%
$03

Technology

The tools and technologies that define this role.

$ tech --language
Pythonvery high
$ tech --framework
PyTorchhigh
JAXmoderate
TensorFlowmoderate
$ tech --platform
CUDAmoderate
Kuberneteslow
$ tech --tool
Evaluation frameworkshigh
$ tech --concept
Language modelsvery high
Agent systemshigh
Data pipelineshigh
Distributed training systemshigh
Generative modelshigh
Multimodal learninghigh
Reinforcement learninghigh
Interpretabilitymoderate
Mixed-precision trainingmoderate
Model compressionmoderate
Synthetic data generationmoderate
Vision transformersmoderate
World modelsmoderate
$04

Open Jobs

77 open Research Engineer jobs across 24 companies.

Cerebras Systems3d
ML Research Engineer (Inference)
Bengaluru, Karnataka, India·Research & Science
Figure AI4d
Staff Reinforcement Learning Engineer – Whole Body Control
San Jose, CA·Research & Science
DeepMind4d
Research Engineer, Information Quality
Mountain View, California, US·Research & Science
Cerebras Systems5d
Advanced Technology: R&D Engineer - AI/ML, HPC
Sunnyvale, CA; Toronto, Ontario, Canada; Vancouver, British Columbia, Canada·Research & Science
Crusoe6d
Technology Scout, R&D
Denver, CO - US·Research & Science
Graphcore1w
Research Engineer
Bristol, UK; Cambridge, UK; London, UK·Research & Science
Goodfire1w
Machine Learning Engineer, Life Sciences
San Francisco, CA·Research & Science
Nebius2w
Senior ML Engineer (AI Research)
Amsterdam, Netherlands; Israel; Remote - Europe; United Kingdom·Research & Science
Anthropic2w
Staff Research Engineer, Discovery Team
San Francisco, CA·Research & Science
Anthropic2w
Research Engineer/Research Scientist, Pre-training
Remote-Friendly (Travel-Required) | San Francisco, CA | Seattle, WA | New York City, NY·Research & Science
Anthropic2w
Research Engineer, Pretraining
London, UK·Research & Science
Anthropic2w
Research Engineer, Machine Learning (Reinforcement Learning)
San Francisco, CA | New York City, NY·Research & Science
DeepMind2w
Software Engineer, Numerics
Mountain View, California, US·Research & Science
DeepMind2w
Research Engineer, Multimodal Generative AI (Image/Video)
Kirkland, Washington, US; Seattle, Washington, US·Research & Science
DeepMind2w
Research Engineer, Agentic Safety
Mountain View, California, US·Research & Science
DeepMind2w
Research Engineer, Human Understanding
Los Angeles, California, US; Mountain View, California, US·Research & Science
Skild AI2w
Research Engineer
Pittsburgh, San Mateo·Research & Science
Waymo2w
Senior Machine Learning Engineer, LLM/VLM Visual Reasoning
Mountain View, CA, US; San Francisco, CA, US·Research & Science
Anthropic2w
Research Engineer, Agents
Remote-Friendly (Travel-Required) | San Francisco, CA | Seattle, WA | New York City, NY·Research & Science
Anthropic2w
Research Engineer, Frontier Red Team (Autonomy)
San Francisco, CA·Research & Science