Applied AI Research Engineer
Applied AI Research Engineer
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Job Description
Applied AI Research Engineer
Compensation: $250000$350000 USD
Location: San Francisco Hybrid 2 days/week onsite)
Who Are We
Were a fastmoving AI infrastructure company partnering with frontier labs and toptier research organizations to deliver the highquality domainspecific training data that cuttingedge models depend on. Our platform and services are critical for teams working on advanced AI systems from LLMs to multimodal model and our mission is to push the frontier of whats possible with humanintheloop AI development.
Were not here to follow trends were here to set them. Think of us as the silent engine behind your favorite frontier AI breakthroughs. You may not know our name but youve definitely seen our fingerprints on todays most advanced models.
Whats In It for You
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Real Impact Real Fast: Youll be dropped straight into a jungle not a garden and expected to thrive. Immediate ownership high autonomy and direct access to some of the most sophisticated AI teams on the planet.
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A Seat at the Big Kids Table: Collaborate with ML engineers researchers and AI leads from elite frontier labs. Your work will directly shape how nextgen models are trained and aligned.
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No OfftheShelf Problems: Youll tackle gnarly unsolved challenges like evaluating PhDlevel expert networks or automating assessments of LLMgenerated content. If youre looking for boilerplate ML this isnt it.
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Continuous Learning: Youll be in an environment where curiosity isnt just encouraged its required. We prize intellectual sharpness and a bias for over credentials.
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Pay That Reflects Your Scar Tissue: Were looking for people whove been through the LLM trenches and made it out smarter. Youll be compensated accordingly.
What Will You Do
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Build systems that align human feedback into training loops think RLHF DPO and methods not even named yet.
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Design algorithms to automatically evaluate the quality of human feedback and data at scale.
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Prototype tools to support expert labeling and assessment across domains like physics math linguistics and more.
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Develop automated systems to assess expert competency and route the right task to the right human (yes kind of like dating apps but for PhDs and LLMs).
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Research and implement active learning strategies adaptive sampling and other methods to minimize human effort while maximizing model performance.
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Publish in toptier ML/AI conferences and build thought leadership in AI alignment and humanintheloop training.
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Collaborate closely with toptier customers (think: frontier labs and household tech names) to understand realworld model training needs and translate them into scalable systems.
What Will You Need
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Experience shipping significant projects in LLMs or adjacent areas pretraining posttraining finetuning evaluation human alignment youve done it and youve got the scars to prove it.
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A proven ability to walk into complex ML problems and start delivering value fastideally in environments where startup chaos was a polite understatement.
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Strong grounding in ML theory and applied research ideally backed by a PhD or Masters in Computer Science Machine Learning or related field.
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Fluency in Python and experience with deep learning frameworks like PyTorch JAX or TensorFlow.
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A track record of publication in toptier AI/ML conferences (NeurIPS ICML ICLR ACL etc. is a big plus.
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High agency high integrity low ego.
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Bonus: Experience in assessing domain expertise automated evaluation or optimization problems involving humansintheloop.
Were building the nextgen infrastructure for how LLMs and other frontier models learn from humans. If youve lived through the messy parts of building with LLMs and came out with hardearned insight this is your chance to shape the future of AI at a foundational level. The work is hard. The problems are unsolved. The impact is enormous. Lets get to it.
Applied AI Research Engineer
Compensation: $250000$350000 USD
Location: San Francisco Hybrid 2 days/week onsite)
Who Are We
Were a fastmoving AI infrastructure company partnering with frontier labs and toptier research organizations to deliver the highquality domainspecific training data that cuttingedge models depend on. Our platform and services are critical for teams working on advanced AI systems from LLMs to multimodal model and our mission is to push the frontier of whats possible with humanintheloop AI development.
Were not here to follow trends were here to set them. Think of us as the silent engine behind your favorite frontier AI breakthroughs. You may not know our name but youve definitely seen our fingerprints on todays most advanced models.
Whats In It for You
- Real Impact Real Fast: Youll be dropped straight into a jungle not a garden and expected to thrive. Immediate ownership high autonomy and direct access to some of the most sophisticated AI teams on the planet.
- A Seat at the Big Kids Table: Collaborate with ML engineers researchers and AI leads from elite frontier labs. Your work will directly shape how nextgen models are trained and aligned.
- No OfftheShelf Problems: Youll tackle gnarly unsolved challenges like evaluating PhDlevel expert networks or automating assessments of LLMgenerated content. If youre looking for boilerplate ML this isnt it.
- Continuous Learning: Youll be in an environment where curiosity isnt just encouraged its required. We prize intellectual sharpness and a bias for over credentials.
- Pay That Reflects Your Scar Tissue: Were looking for people whove been through the LLM trenches and made it out smarter. Youll be compensated accordingly.
Employment Type
Full Time
