Job summary
Job post source
This job is directly from Ambience Healthcare
Job overview
The Staff Research Engineer at Ambience Healthcare leads the development of advanced generative AI systems to improve healthcare by creating prototypes and experimental platforms that push AI capabilities.
Responsibilities and impact
The role involves prototyping and benchmarking LLM systems, translating research into experiments, building evaluation pipelines, shaping data and training strategies, and contributing to a research-driven culture through documentation and collaboration.
Compensation and benefits
The position offers a salary range of $250,000 to $350,000 plus significant equity, with benefits including health, dental, and vision insurance, paid parental leave, unlimited PTO, quarterly retreats, a 401(k) plan, and a personal development budget.
Experience and skills
Candidates should have 4+ years in machine learning research or applied AI engineering, expertise in LLM fine-tuning, proficiency with Python and deep learning frameworks, experience with distributed training, and strong collaboration and communication skills; preferred qualifications include open-source contributions and experience in AI research labs or startups.
Career development
Ambience provides opportunities for personal development with access to world-class mentors, advisors, and an executive coach, supporting significant career growth and ownership over success.
Work environment and culture
The company culture is mission-driven, collaborative, research-focused, and fast-paced, emphasizing experimentation, documentation, and cross-functional learning in a hybrid work environment in San Francisco.
Company information
Ambience Healthcare is a San Francisco-based AI company focused on healthcare, backed by $100M in funding from top investors and collaborating with leading AI experts to develop clinical AI systems that improve care quality and reduce costs.
Job location and travel
The role is hybrid, requiring onsite work in the San Francisco office three days per week.
Unique job features
The job offers unique opportunities to work on cutting-edge AI technology in healthcare, with significant impact on provider and patient experiences, and includes a dedicated budget for personal development and a strong mission alignment.
Company overview
Ambience Healthcare is a company focused on revolutionizing the healthcare industry through advanced artificial intelligence solutions. They specialize in developing AI-powered tools that enhance clinical workflows, improve patient care, and streamline administrative tasks for healthcare providers. The company generates revenue by offering its innovative software solutions to hospitals, clinics, and healthcare systems, aiming to increase efficiency and reduce operational costs. Founded with a mission to transform healthcare delivery, Ambience Healthcare has quickly gained recognition for its cutting-edge technology and commitment to improving healthcare outcomes. Candidates should be aware of the company's emphasis on innovation and its impact on the healthcare sector.
How to land this job
Position your resume to highlight your expertise in large language model (LLM) fine-tuning, proficiency with Python and frameworks like PyTorch, JAX, and Hugging Face Transformers, and experience with distributed training and experimental AI research.
Emphasize your ability to translate cutting-edge machine learning research into reproducible experiments, your skills in designing evaluation pipelines, and your experience with data curation and annotation strategies aligned with real-world task performance.
Apply through multiple channels, including Ambience Healthcare's corporate careers page and LinkedIn, to maximize your visibility and chances of landing an interview for the Staff Research Engineer role.
Connect with current Ambience Healthcare research engineers or AI team members on LinkedIn, and use ice breakers such as commenting on recent publications or projects Ambience has shared, or expressing genuine curiosity about their work with generative AI in healthcare.
Optimize your resume for ATS by incorporating keywords from the job description like 'LLM fine-tuning,' 'reinforcement learning,' 'evaluation pipelines,' 'data curation,' and 'machine learning research' to ensure your resume passes automated screenings.
Use Jennie Johnson's Power Apply feature to automate tailored applications, identify multiple application portals, and discover LinkedIn contacts in Ambience's AI research division, allowing you to focus your energy on preparing for interviews and networking.
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