Member of Technical Staff, Senior/Staff MLE jobs in United States
cer-icon
Apply on Employer Site
company-logo

Cohere · 2 weeks ago

Member of Technical Staff, Senior/Staff MLE

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 in Applied ML will work directly with enterprise customers to design and deliver custom LLM solutions, influence the capabilities of Cohere’s models, and mentor engineers across teams.

Artificial Intelligence (AI)Foundational AIGenerative AIMachine LearningNatural Language Processing
check
Comp. & Benefits
check
H1B Sponsor Likelynote

Responsibilities

Lead the design and delivery of custom LLM solutions for enterprise customers
Translate ambiguous business problems into well-framed ML problems with clear success criteria and evaluation methodologies
Build custom models using Cohere’s foundation model stack, CPT recipes, post-training pipelines (including RLVR), and data assets
Develop SOTA modeling techniques that directly enhance model performance for customer use-cases
Contribute improvements back to the foundation-model stack — including new capabilities, tuning strategies, and evaluation frameworks
Work closely with enterprise customers to identify high-value opportunities where LLMs can unlock transformative impact
Provide technical leadership across discovery, scoping, modeling, deployment, agent workflows, and post-deployment iteration
Establish evaluation frameworks and success metrics for custom modeling engagements
Mentor engineers across distributed teams
Drive clarity in ambiguous situations, build alignment, and raise engineering and modeling quality across the organization

Qualification

ML fundamentalsPythonLLM architecturesLarge-scale datasetsCustomer engagementSOTA modeling techniquesTechnical leadershipHumilityCollaborationOwnership

Required

Strong ML fundamentals and the ability to frame complex, ambiguous problems as ML solutions
Fluency with Python and core ML/LLM frameworks
Experience working with large-scale datasets and distributed training or inference pipelines
Understanding of LLM architectures, tuning techniques (CPT, post-training), and evaluation methodologies
Demonstrated ability to meaningfully shape LLM performance
Experience engaging directly with customers or stakeholders to design and deliver ML-powered solutions
A track record of technical leadership at a team level
A broad view of the ML research landscape and a desire to push the state of the art
Bias toward action, high ownership, and comfort with ambiguity
Humility and strong collaboration instincts
A deep conviction that AI should meaningfully empower people and organizations

Benefits

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 up to 6 months
Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement
Remote-flexible, offices in Toronto, New York, San Francisco, London and Paris, as well as a co-working stipend
6 weeks of vacation (30 working days!)

Company

Cohere

twittertwittertwitter
company-logo
Cohere is an enterprise AI firm developing secure and private AI technology to address real-world business challenges.

H1B Sponsorship

Cohere has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (11)
2024 (14)
2023 (13)
2022 (5)
2021 (2)

Funding

Current Stage
Late Stage
Total Funding
$1.71B
Key Investors
Government of CanadaTiger Global ManagementIndex Ventures
2025-09-24Series D· $100M
2025-08-14Series D· $500M
2025-06-17Secondary Market

Leadership Team

leader-logo
Aidan Gomez
cofounder + ceo
linkedin
leader-logo
Ivan Zhang
Co-Founder
linkedin
Company data provided by crunchbase