Applied Research Engineer
Applied Research Engineer
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1 Vacancy
Job Description
Join the Future of HumanCentered AI
Were on a mission to build the critical infrastructure powering the next generation of AI. Since 2018 weve led the charge in datacentric AI developmentcombining toptier tools expert data labeling and scalable human feedback systems to shape frontier models.
Our three integrated solutions fuel AI innovation:
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Enterprise Platform & Tools: Advanced annotation tools and workflow automation for highquality training data at scale.
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Frontier Data Labeling Services: Expertdriven labeling for nextgen AI systems.
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Expert Marketplace: A flexible ondemand network of specialized annotators and domain experts.
Why Join Us
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High Impact: Work at a fastpaced missiondriven company where your contributions matter.
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CuttingEdge Innovation: Tackle real challenges in AI alignment and human feedback systems.
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Collaborative Excellence: Join a team of top researchers and engineers passionate about ethical AI.
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Growth & Learning: Continuously learn experiment and grow your career in a highcaliber environment.
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Clear Ownership: Take initiative lead with autonomy and see your work in production.
What Youll Do
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Develop novel methods to align AI systems with human intent using RLHF DPO and related approaches.
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Design and build tools for collecting evaluating and optimizing human feedback in AI training.
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Enhance data labeling pipelines through active learning adaptive sampling and AIassisted workflows.
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Analyze feedback types (demonstrations comparisons critiques) to improve model performance and safety.
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Translate research into scalable productionready systems and contribute to platform innovation.
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Publish at top ML/AI conferences and help shape industry best practices in alignment research.
What You Bring
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Masters or Ph.D. in Computer Science Machine Learning or related field.
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3 years of experience applying ML to realworld problems preferably in alignment or humanintheloop systems.
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Deep understanding of datacentric AI frontier model training and feedback optimization.
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Proficiency in Python and ML frameworks (e.g. PyTorch JAX TensorFlow).
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A track record of research publications (NeurIPS ICML ICLR ACL etc. is a strong plus.
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Strong prototyping problemsolving and analytical thinking skills.
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Excellent communication and a collaborative mindset.
Our Mission
Were redefining how AI learns from humans. By combining machine learning humancomputer interaction and ethical AI research we ensure every system we build is responsible effective and aligned with realworld human values.
SO
Employment Type
Full Time
