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Title: Senior Member of Technical Staff
MLE
Location: Seattle
Type: Full-time, Remote
Workplace: hybrid
Category: Forward Deployed Engineering
JobDescription:
Who are we?
Cohere is focused on building and deploying large language model (LLM) AI into enterprises in a safe and responsible way that drives human productivity, and creates magical new ways to interact with technology and real business value. We’re a team of highly motivated and experienced engineers, innovators, and disruptors looking to change the face of technology.
Our goals are ambitious, but also concrete and practical. Cohere wants to fundamentally change how businesses operate, making everyone more productive and able to focus on doing better what they do best. Every day, our team breaks new ground, as we build transformational AI technology and products for enterprise and developers to harness the power of LLMs.
Cohere was founded by three global leaders in AI development, including our CEO, Aidan Gomez, who co-created the Transformer, which makes LLMs possible. Collectively, we’re driven by the belief that our technology has the potential to revolutionize the way enterprises, their employees, and customers engage with technology through language.
Cohere’s broader research team is world-renowned, having contributed to the development of sentence transformers for semantic search, dynamic adversarial data collection and red teaming, and retrieval augmented generation, often referred to as “RAG,” among other technological breakthroughs.
We have been deliberate in assembling a team of operational leaders with industry-leading experience, with backgrounds working at the most sophisticated, demanding, and respected enterprises in the world. Cohere’s operational leaders have built, scaled, and led multi-billion product lines and businesses at Google, Apple, Rakuten, YouTube, AWS, and Cisco.
The Cohere team is a collective from all walks of life, from people who left college to start businesses, to some of the most experienced people from globally renowned companies. We believe a erse team is the key to a safer, more responsible technology, and that different experiences and backgrounds enable us to tackle problems from all angles and avoid blindspots.
There’s no better time to play a role in defining the future of AI, and its impact on the world.
Why this role?
Lead the development of novel ideas.
Ship state of the art models to happy customers.
Help build and scale an engineering team.
We do not delineate strongly between engineering and research. Everyone will contribute to writing production code and conducting research depending on inidual interest and organizational need.
Please Note: We have offices in Toronto, Palo Alto, and London but embrace being remote-first! There are no restrictions on where you can be located for this role.
As a Member of Technical Staff, you will:
- 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
- Join us at a pivotal moment, shape what we build and wear multiple hats!
You may be a good fit if you have:
- 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
- Bonus: experience shipping on TPUs
- Bonus: experience working for B2B companies in the ML space.
- Bonus: paper at top-tier venues (such as NeurIPS, ICML, ICLR, AIStats, MLSys, JMLR, AAAI, Nature, COLING, ACL, EMNLP)
This is neither an exhaustive nor necessary set of attributes. Even if none of these apply to you, but you believe you will contribute to Cohere, please reach out. We have a wide variety of backgrounds at Cohere.
If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply! If you consider yourself a thoughtful worker, a lifelong learner, and a kind and playful team member, Cohere is the place for you.
We value and celebrate ersity and strive to create an inclusive work environment for all. We welcome applicants of all kinds and are committed to providing an equal opportunity process. Cohere provides accessibility accommodations during the recruitment process. Should you require any accommodation, please let us know and we will work with you to meet your needs.
Our Perks:
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 6 months for employees based in Canada, the US, and the UK
Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement
Remote-flexible, offices in Toronto, Palo Alto, San-Francisco and London and co-working stipend
6 weeks of vacation
Note: This post is co-authored by both Cohere humans and Cohere technology.