Applied Research Engineer

About the Role

This is an applied research engineering role at a small, fast-moving AI data lab focused on multimodal data — video, audio, image, and interaction data — that powers frontier AI development. You'll work at the intersection of research and engineering, helping build and advance the data pipelines and ML systems that underpin cutting-edge AI applications for leading research teams and enterprises.

What You'll Do

• Design and implement ML models and research prototypes across multimodal data domains (video, audio, image).
• Develop and improve data filtering, indexing, and annotation systems using purpose-built detectors and embeddings.
• Collaborate with cross-functional teams to understand model needs, failure modes, and evaluation goals.
• Contribute to research efforts that translate directly into production-quality data solutions for AI teams.
• Communicate technical findings and methodologies clearly to both technical and non-technical stakeholders.

What We're Looking For

• Bachelor's degree in Computer Science, Mathematics, Statistics, or a closely related field.
• Strong foundation in machine learning concepts — supervised/unsupervised learning, optimization, and model evaluation.
• Proficiency in Python and hands-on experience with TensorFlow or PyTorch.
• Demonstrated research capability in AI/ML through personal projects, publications, or open-source contributions.
• Clear, effective communicator who thrives in collaborative, cross-functional environments.
• Self-directed and curious — comfortable driving independent research with limited supervision.
• Background at or familiarity with engineering-driven organizations in AI infrastructure, data platforms, or applied ML is a plus.

Compensation & Benefits

Salary range: $150,000 – $350,000 USD annually. Visa sponsorship is available.

Location

On-site in San Francisco, California, USA.