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Who are we?

We’re a small, diverse team working at the cutting edge of machine learning. At Cohere, our mission is to build machines that understand the world and to make them safely accessible to all. Language is at the crux of this, but it can be difficult and expensive to parse the syntax, semantics, and context that all work together to give words meaning. The Cohere platform provides access to Large Language Models through its APIs that read billions of web pages and learns to understand the meaning, sentiment, and intent of the words we use in a richness never seen before. 

We've recently raised our Series C, and we are focused on bringing our technology to market. We will partner with customers so they can build natural language understanding and generation into their products with just a few lines of code.

We’re ambitious — we believe our technology will fundamentally transform how industries interact with natural language. And we have the technical chops to back it up - Cohere’s CEO, Aidan Gomez, is a co-author of the groundbreaking paper “Attention is all you need”, and was previously part of Google Brain. Our entire technical team is world-class. 

We are focused on creating a diverse and inclusive work environment so that all of our team members can thrive. We welcome kind and brilliant people to our team, from wherever they come.

Why this role?

Forward Deployed Machine Learning Engineers (FDMLEs) work directly with customers to quickly understand their greatest problems and design and implement solutions using Large Language Models.

In this role, 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!

As an FDMLE, you will:

- Own and build large new areas within our product.

- Work across backend, frontend, and customize Large Language Models.

- Experiment at a high velocity and level of quality to engage our customers and eventually deliver solutions that exceed their expectations.

- Work across the entire product lifecycle from conceptualization through production.

The FDMLE career opportunity may be a good match for you if you have:

- 3+ years of model training, deployment, and maintenance in a production environment.

- Strong skills in NLP and deep learning.

- Experience scaling products at hyper-growth startup.

- Strong written and verbal communication skills.

- Ability and interest to travel up to 25%, as needed to client sites, but flexible based on personal preferences.

Nice to have skills/experiences:

- Experience improving LLM performance for custom domains via fine tuning or RLHF.

- Experience in Information Retrieval systems for document question answering.

- Experience in day-to-day NLP for industry using Python and related toolchains (SpaCy, HuggingFace, NLTK, etc.).

- Published research in areas of machine learning at major conferences and/or journals.

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 diversity 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 

🍽 Free daily lunch 

🦷 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, and London and coworking stipend

✈️ 6 weeks of vacation

#LI-Remote

At Connectly we are building a revolutionary e-commerce experience on WhatsApp. Unlike traditional shopping experiences where you have to download an app, or sign up on a website, we allow customers to engage and transact directly within the thread.

By choosing Connectly you will join a VC-backed early-stage startup, work with our world-class team, and experience rapid career advancement opportunities.

About the team: CEO Stefanos was the global Head of Messenger at Facebook. CTO Yandong was CTO of Strava. Other founding members have experience working for Google, Facebook, Uber and other startups.

We are looking for an ML builder who can play a key role across the entire ML lifecycle. You will be involved with our conversational AI bots, e-commerce search/retrieval platform, and ad-targeting recommender systems. On the operations end, your tasks will include building production-ready inference pipelines, deployment and model versioning, and working on continuous validation processes. On the engineering side, your responsibilities will encompass fine-tuning generative AI models, constructing agentic language chains, and prototyping recommender system experiments.

Requirements

• Must demonstrate good software engineering design practices
• Experience working with transformer models
• Experience working with text embeddings
• Experience deploying and managing ML models in a production setting
• Familiarity with common NLP libraries: PyTorch, HuggingFace Transformers, SpaCy, etc...
• Bonus: familiarity with common ML Ops tooling/platforms (i.e.) Weights and Biases, Anyscale, Sagemaker, etc...
• Bonus: familiarity with the AWS ecosystem.
• Bonus: past projects building agentic language chains

• Fine-tuning generative AI models
• Designing AI Agents
• Experimenting with new techniques for recommender systems
• Building and maintaining inference pipelines
• Managing deployment and model versioning pipelines
• Building tooling to continuously validate models in production

Connectly is an equal opportunity employer. We’re committed to building a diverse, inclusive, and supportive workplace that is distributed around the world.

We're a remote-first company, but due to the majority of the workforce being in the western hemisphere collaboration hours are generally within the Pacific Timezone working hours range (7 hours behind UTC). We allow you to work from anywhere in the world anytime you prefer, as long as you are able to at least some workdays overlap with 9am - 1pm Pacific time where we have scheduled team meetings and close collaboration hours. (location-specific legal requirements permitting).

We're looking to cultivate a highly creative, motivating, and collaborative environment as we aim to move fast and build quickly. Talk to us if you are interested!