Applied Machine Learning Engineer

Cohere; City of Edinburgh; On-site; GBP 90,000 - 150,000; Full time

Benefits offered by this job

Weekly lunch stipend

Health and dental benefits

RRSP matching / Pension

Parental Leave top-up

Offsite & travel allowances

Home office stipend

Job summary

Cohere is seeking a Machine Learning Engineer (Applied ML) to work directly with customers, understand their problems, and design production-ready solutions using large language models.

You will apply problem-solving, creativity, and technical skills to close the last-mile gap in Enterprise AI adoption and deliver impactful products for global customers.

Qualifications

• Proficiency in Python and ML frameworks such as Tensorflow, TF-Serving, JAX, XLA/MLIR.

Responsibilities

• Plan and execute large-group projects 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 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!

Skills

Python

ML frameworks

Distributed training

Mentorship

Tools

Tensorflow

TF-Serving

JAX

XLA/MLIR

Job description

Who are we?

Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems.

We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that.

We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft.

We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us!

Why this role?

As a Machine Learning Engineer 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!

As a Machine Learning Engineer (Applied ML), 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 working for B2B companies in the ML space.


• 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.

Full-Time Employees At Cohere Enjoy These Perks

• A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch.


• Full health and dental benefits, including a separate budget for mental health.


• RRSP matching, 401K, Pension Scheme.


• 100% Parental Leave top-up for up to 6 months, for either parent.


• Annual enrichment benefits:

Arts & culture, fitness/wellness, quality time, and a workspace improvement credit.

Education & learning stipend for conferences, courses, and coaching.

• 6 weeks of paid vacation (30 working days!)


• Budget for traveling to other offices if you are remote, plus an annual company offsite.

How And Where We Work

• Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon.


• For those in the office: a daily lunch program, plenty of snacks, and regular community and social events.


• For those not near an office: a co-working benefit so you can work alongside others in your city.


• Everyone receives a $500 home office stipend to set up your workspace properly.

If any of the above doesn’t line up exactly with your experience, we still encourage you to apply.

We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities.

Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form, and we will work together to meet your needs.

We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider.