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Cohere Jobs (NOW HIRING)

Cohere

Senior Revenue Accountant

New York, NY · On-site

$210K - $260K/yr

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 ...

Cohere

Product Manager, Agent Harness & Modelling

New York, NY · On-site

$182K - $189K/yr

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 ...

Cohere

Senior Research Engineer, Model Evaluation

New York, NY · On-site

$114K - $157K/yr

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 ...

Cohere

Product Marketing Manager

New York, NY · On-site

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 ...

Cohere

Chief of Staff

New York, NY · On-site

$250K - $310K/yr

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 ...

Cohere

Data Engineer, Data Foundations

New York, NY · On-site

$125K - $150K/yr

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 ...

Cohere

IT Support Engineer

New York, NY · On-site

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 ...

Cohere

Senior/Staff Full-Stack Engineer

New York, NY · On-site

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 ...

Cohere

Member of Technical Staff, Modeling

Cohere is on a mission to scale intelligence to serve humanity by training and deploying frontier models for AI systems. The Member of Technical Staff, Modeling will design and implement novel ...

Cohere

Technical Revenue Manager

New York, NY · On-site

$160K - $250K/yr

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 ...

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Cohere information

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How much do cohere jobs pay per year?

As of Jun 20, 2026, the average yearly pay for cohere in the United States is $69,409.00, according to ZipRecruiter salary data. Most workers in this role earn between $45,000.00 and $85,000.00 per year, depending on experience, location, and employer.

How is Cohere different from OpenAI?

Cohere and OpenAI are both companies developing AI language models, but Cohere focuses on providing enterprise-friendly NLP tools with customizable APIs, while OpenAI offers a broader range of AI models including GPT for various applications. For job roles at Cohere, familiarity with machine learning, NLP, and API integration is valuable. Both companies emphasize research and development in AI technology.

What is a Cohere and what do they do?

Cohere is actually not a traditional job title, but the name of a company specializing in artificial intelligence and natural language processing. Cohere provides large language models and AI tools to help businesses build advanced language features into their applications. Employees at Cohere work in roles such as machine learning engineers, research scientists, and product managers, focusing on developing and improving AI models and solutions. If you are interested in working at Cohere, it's important to understand their focus on cutting-edge AI technology and their mission to make AI accessible to all developers.

What are the key skills and qualifications needed to thrive as a Machine Learning Engineer at Cohere, and why are they important?

To thrive as a Machine Learning Engineer at Cohere, you need strong expertise in machine learning algorithms, proficiency in programming languages like Python, and a solid educational background in computer science or a related field. Familiarity with deep learning frameworks (such as TensorFlow or PyTorch), experience using cloud platforms, and knowledge of NLP systems are typically required. Excellent problem-solving, communication, and collaboration skills help you work effectively within cross-functional teams and drive innovation. These skills ensure you can build, deploy, and optimize cutting-edge AI solutions that meet real-world business needs.

What products does Cohere have?

Cohere offers natural language processing products including language models, APIs, and tools for building AI-powered applications. These products enable developers to integrate advanced text understanding and generation capabilities into their software solutions.

Is Cohere a SaaS company?

Cohere is a company that provides natural language processing APIs as a SaaS platform, enabling developers to integrate AI language models into their applications. If you are applying for a role at Cohere, familiarity with cloud-based services and AI tools is beneficial. As a SaaS provider, the company operates primarily through online subscription services.

What are some common challenges faced by Cohere engineers when working with large-scale language models?

Engineers at Cohere often encounter challenges such as optimizing model performance while managing computational resources, ensuring data privacy, and maintaining model accuracy across diverse use cases. Collaboration between research and engineering teams is crucial to address these issues, as they work together to implement new algorithms and troubleshoot deployment issues. Additionally, keeping up with the rapid pace of advancements in natural language processing requires continuous learning and adaptation.

What is the difference between Cohere vs Content Writer?

AspectCohereContent Writer
Required CredentialsTypically a background in linguistics, computer science, or related fields; familiarity with NLP and AI toolsUsually a degree in English, journalism, communications, or related fields
Work EnvironmentTech companies, AI startups, remote or office-based roles focused on AI and NLP projectsMedia companies, marketing agencies, freelance or in-house roles creating written content
Employer & Industry UsageUsed in AI, machine learning, and tech industries for developing language modelsUsed across publishing, marketing, advertising, and media industries for content creation

While Cohere focuses on AI and NLP technology development, a Content Writer specializes in creating written content for various media. Both roles require strong language skills, but Cohere emphasizes technical expertise in AI, whereas Content Writers focus on storytelling and communication skills.

What kind of jobs can you get as a software engineer?

As a software engineer, you can work in roles such as front-end, back-end, full-stack, or DevOps engineer, developing applications, systems, or infrastructure. These roles often require proficiency in programming languages like Java, Python, or JavaScript, and may involve working with tools like Git, cloud platforms, or agile methodologies.
More about Cohere jobs
What cities are hiring for Cohere jobs? Cities with the most Cohere job openings:
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Cohere jobs near you
Infographic showing various Cohere job openings in the United States as of June 2026, with employment types broken down into 93% Full Time, and 7% Contract. Highlights an 46% Physical, and 54% Remote job distribution, with an average salary of $69,409 per year, or $33.4 per hour.

Site Reliability Engineer, Inference Infrastructure

Cohere

New York, NY • On-site

$62.25 - $82.75/hr

Full-time

Posted 7 days ago

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 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 a Site Reliability Engineer 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.
As a Site Reliability Engineer you will:
  • Build self-service systems that automate managing, deploying and operating services.
  • This includes our custom Kubernetes operators that support language model deployments.
  • Automate environment observability and resilience. Enable all developers to troubleshoot and resolve problems.
  • Take steps required to ensure we hit defined SLOs, including participation in an on-call rotation.
  • Build strong relationships with internal developers and influence the Infrastructure team's roadmap based on their feedback.
  • Develop our team through knowledge sharing and an active review process.

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).

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.

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.

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