Staff Software Engineer, Inference Infrastructure
TLDR
Build and operate high-performance, scalable ML inference platforms delivering NLP models via API endpoints with low latency, high throughput, and reliable availability.
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 co-headquartered in Toronto and San Francisco, with key offices in London, New York City, Montreal, Seoul, Germany and Paris. Join us!
Why this role?
Are you energized by building high-performance, scalable and reliable machine learning systems? Do you want to help define and build the next generation of AI platforms powering advanced NLP applications? We are looking for Members of Technical Staff to join the Model Serving team at Cohere. The team is responsible for developing, deploying, and operating the AI platform delivering Cohere's large language models through easy to use API endpoints. In this role, you will work closely with many teams to deploy optimized NLP models to production in low latency, high throughput, and high availability environments. You will also get the opportunity to interface with customers and create customized deployments to meet their specific needs.
You may be a good fit if you have:
5+ years of engineering experience running production infrastructure at a large scale
Experience designing large, highly available distributed systems with Kubernetes, and GPU workloads on those clusters
Experience with Kubernetes dev and production coding and support
Experience with GCP, Azure, AWS, OCI, multi-cloud on-prem / hybrid serving
Experience in designing, deploying, supporting, and troubleshooting in complex Linux-based computing environments
Experience in compute/storage/network resource and cost management
Excellent collaboration and troubleshooting skills to build mission-critical systems, and ensure smooth operations and efficient teamwork
The grit and adaptability to solve complex technical challenges that evolve day to day
Familiarity with computational characteristics of accelerators (GPUs, TPUs, and/or custom accelerators), especially how they influence latency and throughput of inference.
Strong understanding or working experience with distributed systems.
Experience in Golang, C++ or other languages designed for high-performance scalable servers).
If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply!
We value and celebrate diversity and 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.
Full-Time Employees at Cohere Enjoy These Perks:
An open and inclusive culture and work environment
Work closely with a team on the cutting edge of AI research
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.
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Annual enrichment benefits:
Arts & culture, fitness/wellness, quality time, and a workspace improvement credit.
Education & learning stipend for conferences, courses, and coaching.
Remote-flexible, offices in Toronto, New York, San Francisco, London and Paris, as well as a co-working stipend
6 weeks of paid vacation (30 working days!)
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Budget for traveling to other offices if you are remote, plus an annual company offsite.
How and Where We Work:
Cohere is remote-friendly. We have offices in Toronto, San Francisco, New York City, London, Paris, Montreal, and more coming 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.
Benefits
Free Meals & Snacks
A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch.
Health Insurance
Full health and dental benefits, including a separate budget for mental health.
Home Office Stipend
Everyone receives a $500 home office stipend to set up your workspace properly.
Learning Budget
Education & learning stipend for conferences, courses, and coaching.
office amenities and social events
For those in the office: a daily lunch program, plenty of snacks, and regular community and social events.
Paid Parental Leave
100% Parental Leave top-up for up to 6 months, for either parent.
Paid Time Off
6 weeks of paid vacation (30 working days!)
Remote-Friendly
Remote-flexible, offices in Toronto, New York, San Francisco, London and Paris, as well as a co-working stipend
Wellness Stipend
Arts & culture, fitness/wellness, quality time, and a workspace improvement credit.
Cohere builds a leading AI platform that empowers enterprises to leverage advanced large language models and Retrieval Augmented Generation capabilities. Designed for developers and businesses eager to enhance their applications with intelligent language processing, Cohere stands out by combining state-of-the-art technology with a commitment to diverse perspectives in product development.
- Founded
- Founded 2019
- Employees
- 201-500 employees
- Industry
- IT Services
- Total raised
- $170M raised