Research Scientist
Research Scientist investigates training data interventions to improve deep learning model quality and behavior. Sources ideas from literature, conducts customer-grounded research, and collaborates with engineers to deliver impact. Requires 3+ years deep learning research and PyTorch proficiency.
About the job
What You'll Work On
- Source, vet, implement, and improve promising ideas from the deep learning literature and your own thinking.
- Conduct research guided by concrete customer needs and product outcomes.
About You (Requirements)
- 3+ years of deep learning research experience
- Strong fundamentals in deep learning
- Practical experience and/or publications in one or more of: data pruning and curation, curriculum learning, synthetic data generation, dataset distillation, effects of training data on model behavior, embedding models and semantic search, training large vision (including video), language, or multimodal models, efficient ML
- Enough software engineering and PyTorch experience to run large-scale experiments and build production prototypes
- Demonstrated track record in deep learning research (papers, tools, or other artifacts)
Nice to Have
- Experience with distributed data processing tools like Spark or Snowflake
- Experience building and shipping ML products
Compensation
- Base salary: $180,000 to $300,000
- Significant equity
- 100% covered health benefits (medical, vision, dental)
- 401(k) with 4% company match
- Unlimited PTO
- Annual $2,000 wellness stipend
- Annual $1,000 learning stipend
- Daily lunches and snacks
- Relocation assistance
Skills
PyTorch, Deep Learning, Data Pruning, Curriculum Learning, Synthetic Data Generation, Dataset Distillation, Embedding Models, Semantic Search, Multimodal Models, Spark, Snowflake
Similar jobs
AI Research jobs
Hightouch
United States
Develops experimental AI techniques and prototypes for agentic marketing applications, with emphasis on image and video generation. The role requires strong backend or probabilistic systems expertise, quantitative thinking, creativity with LLM applications, and product intuition.
Greptile
San Francisco, CA
The Research Engineer will apply advances in agents and language models to build and evaluate multi-agent systems for automated code validation and review. The role requires a computer science or equivalent background, research experience, strong programming skills, and product intuition.
Scale AI
San Francisco, CAResearch Scientist focused on evaluating frontier language and multimodal models, diagnosing failure modes, and building rigorous benchmarks. The role requires advanced training in AI or a related field, post-training expertise, and published machine learning research.
Scale AI
San Francisco, CAResearch novel post-training methods for large language models, focusing on preference optimization, data curation, evaluation, alignment, and robustness across text and multimodal systems. Requires advanced academic training and experience with deep learning, reinforcement learning, and post-training techniques.
Earnin
Mountain View, CA
Build agent-driven chatbots and generative AI workflows for financial-wellness products, owning features from design through impact measurement. The role requires at least three years of software engineering experience, strong system design, maintainable coding practices, and a bachelor’s degree or equivalent experience.