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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.
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