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As a Member of Technical Staff on our Applied ML team, you will work directly with customers to quickly understand their greatest problems and design and implement solutions using Large Language Models. You’ll apply your problem-solving ability, creativity, and technical skills to close the last-mile gap in Enterprise AI adoption. You’ll be able to deliver products like early startup CTOs/CEOs do and disrupt some of the most important industries and institutions globally!
Job Responsibility:
Plan and execute large-group projects that carry through from ideation to production
Bring cross-functional alignment across engineering, product and other disciplines
Mentor a distributed team of engineers in subject matter expertise
Identify opportunities and gaps in existing models and strategize what to work on
Work closely with product teams to develop solutions
Engage in collaborations with our partner organizations
Assist our legal teams with preparation of patents on developed IP
Requirements:
Prior experience in leading ML teams in applied research and production
Prior experience in setting as well as executing technical direction to build new or to refine existing products
Prior experience in working cross-discipline in matrixed organizations
Proficiency in Python and related ML frameworks such as Tensorflow, TF-Serving, JAX, and XLA/MLIR
Experience using large-scale distributed training and inference
Strong mentorship, communication, and problem-solving skills
A demonstrated passion for applied ML models and products
Nice to have:
Bonus: experience working for B2B companies in the ML space
What we offer:
An open and inclusive culture and work environment
Work closely with a team on the cutting edge of AI research
Weekly lunch stipend, in-office lunches & snacks
Full health and dental benefits, including a separate budget to take care of your mental health
100% Parental Leave top-up for up to 6 months
Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement
Remote-flexible, offices in Toronto, New York, San Francisco, London and Paris, as well as a co-working stipend