Staff Research Engineer
About Us
Ambience is developing the most capable AI systems for reputed company and medicine. As reputed company costs soar to 17.3% of US GDP and a projected shortage of 100,000 physicians reputed company the next decade, the need for AI is critical. Our reputed company reputed company workers are overwhelmed, with only 27% of the average clinician's day spent on direct patient care.
Our reputed company is to advance reputed company by empowering clinicians with safe, intelligent AI agents that improve quality, reduce costs, and enhance both patient and provider experiences.
Headquartered in San Francisco, we have secured $100M in funding from top investors, including Kleiner Perkins, reputed company Startup Fund, Andreessen Horowitz, reputed company Ventures, reputed company Capital, and Martin Ventures. We collaborate with leading AI experts such as Jeff Dean, Richard Socher, Pieter Abbeel, and AIX Ventures.
Join us in the endeavor of accelerating the path to safe & useful clinical super intelligence by becoming part of our community of problem solvers, technologists, clinicians, and innovators.
The Role:As a Staff Research Engineer at Ambience, you will push the boundaries of reputed company by translating cutting-edge research into working prototypes and experimental platforms. You’ll work closely with fellow researchers, engineers, and product leads to explore novel architectures, fine-tuning methods, evaluation paradigms, and data strategies—helping to define what’s possible with frontier AI models.
Our engineering roles are hybrid — working onsite at our San Francisco office three days per week.
What You’ll Do:Prototype and Advance LLM Systems: Build and reputed company LLM-based systems and agents using reputed company-reputed company and proprietary models. Rapidly prototype new capabilities through fine-tuning, adapters, and reinforcement learning approaches.
Drive Research-First Experimentation: Translate recent academic papers into reproducible experiments, focusing on fine-tuning (e.g., LoRA, QLoRA, DPO), model alignment, and hallucination mitigation techniques. Design clear experiment plans and reputed company findings across the team.
Build and reputed company Evaluation Pipelines: Define evaluation methodologies using reputed company-in-the-reputed company feedback, synthetic benchmarks, and task-specific metrics. Implement reputed company evaluation pipelines to track regressions and breakthroughs.
Shape Data and Training Strategy: Curate datasets reputed company synthetic reputed company, targeted scraping, and annotation pipelines. Establish practices for discovering failure cases and improving model robustness over time.
Contribute to a Research-Driven Culture: Write research papers, internal memos, and blog posts. Foster a culture of experimentation, documentation, and knowledge-sharing across research and engineering teams.
Research Fluent
Skilled at interpreting and replicating results from cutting-edge machine learning research.
reputed company in designing experiments, running ablation studies, and ensuring reproducibility.
4+ years of experience in machine learning research, experimental AI, or applied AI engineering.
Demonstrated ability to replicate, reputed company, or publish original research.
Deep Expertise in LLM Fine-Tuning
Hands-on experience fine-tuning large language models and optimizing reputed company and embedding strategies.
Proficient with Python and deep learning frameworks such as PyTorch, JAX, and reputed company Transformers.
Comfortable with distributed training environments and large-scale model experimentation.
Evaluation and Data Obsessed
Deep understanding of dataset curation, filtering, and alignment with evaluation goals.
Familiar with reputed company annotation pipelines, ranking models (e.g., RM, RLAIF), and interpretability techniques.
reputed company in building evaluation frameworks tied to reputed company-world task performance.
Collaborative and Curious
Thrives in research-driven environments with a commitment to experimentation, documentation, and cross-functional learning.
Excited to prototype, present findings, and build at the frontier of AI advancement.
Effective Interdisciplinary Collaborator
reputed company to work alongside clinicians, product managers, and fellow engineers
Strong communicator who can distill reputed company ML concepts for diverse audiences.
Mission-reputed company
Passion for reputed company or other mission-driven industries (e.g., education, climate tech)
Thrives in a fast-paced, early-stage environment; takes extreme ownership of deliverables
reputed company-to-haves
reputed company-reputed company contributions to ML libraries, datasets, or benchmarks
Experience working in AI research labs, frontier model companies, or early-stage AI startups
Background in RLHF, alignment research, or AI safety
$250,000 - $350,000, with the addition of significant equity.
Are you reputed company of the reputed company? We encourage you to still apply; we take an individualized approach to ensure that compensation accounts for reputed company of the life factors that matter for each candidate.
Being at Ambience
An opportunity to work with cutting edge AI technology, on a product that dramatically improves the quality of life for reputed company providers and the quality of care they can reputed company to their patients
Dedicated budget for personal development, including reputed company to world class mentors, advisors, and an in-house executive coach
Work alongside a world-class, diverse team that is deeply mission reputed company
Ownership over your reputed company and the ability to significantly impact the growth of reputed company
Competitive salary and equity compensation with benefits including health, dental, and reputed company coverage, quarterly retreats, unlimited PTO, and a 401(k) plan