Field Engineer, AI Interpretability & Deployment
Goodfire
14 days+
Get more replies from employers
Send a job-specific resume in minutes.
Benefits offered by this job
Job summary
A cutting-edge AI research company based in San Francisco is seeking a Member of Technical Staff to enhance customer interactions with their interpretability platform. This role involves building robust technical solutions and working directly with clients in various sectors including Life Sciences and Robotics. Ideal candidates should possess strong software engineering skills, especially in Python and ML frameworks, along with an ability to navigate between technical and non-technical stakeholders. Join us in developing pioneering AI technology to ensure safe advancements for humanity.
Qualifications
- Strong software engineering skills with production experience in Python and modern ML frameworks.
- Ability to work across research and engineering boundaries.
- Strong communication skills to explain technical tradeoffs clearly.
Responsibilities
- Own technical delivery for partner engagements.
- Run pilots that prove value fast.
- Embed with partner engineering teams.
Skills
Strong software engineering skills
Production experience with Python
Experience with modern ML frameworks
Strong communication skills
Ability to work across research and engineering
Education
Technical degree or equivalent experience
Tools
PyTorch
JAX
Job description
A cutting-edge AI research company based in San Francisco is seeking a Member of Technical Staff to enhance customer interactions with their interpretability platform. This role involves building robust technical solutions and working directly with clients in various sectors including Life Sciences and Robotics. Ideal candidates should possess strong software engineering skills, especially in Python and ML frameworks, along with an ability to navigate between technical and non-technical stakeholders. Join us in developing pioneering AI technology to ensure safe advancements for humanity.
'/%3e%3cpath%20d='M101.744%2012.4726L102.894%2016.1947L99.0021%2013.2201L101.744%2012.4726ZM105.3%208.40937H100.488L99.0026%203.59473L97.5116%208.41047L92.7%208.40385L96.5965%2011.3834L95.1055%2016.1942L99.0021%2013.2196L101.408%2011.3834L105.3%208.40992V8.40937Z'%20fill='white'/%3e%3cdefs%3e%3clinearGradient%20id='paint0_linear_5593_1381'%20x1='90'%20y1='9.44471'%20x2='99'%20y2='9.44471'%20gradientUnits='userSpaceOnUse'%3e%3cstop%20stop-color='%2300AD70'/%3e%3cstop%20offset='0.998594'%20stop-color='%2300B67A'/%3e%3cstop%20offset='1'%20stop-color='%23DCDCE6'/%3e%3c/linearGradient%3e%3c/defs%3e%3c/svg%3e){kind=small}
