CrawlJobs Logo

Member of Technical Staff, Agents Modeling

cohere.com Logo

Cohere

Location Icon

Location:
United States , New York

Category Icon
Category:
IT - Software Development

Job Type Icon

Contract Type:
Not provided

Salary Icon

Salary:

Not provided
Save Job
Save Icon
Apply Position

Job Description:

We’re looking for an experienced machine learning researcher / engineer who can help us push the frontiers of agentic LLM systems. As a part of the team, you will help drive exploration and development of agentic techniques and have the opportunity to build the models that power our agentic solutions. Agentic LLM systems are being deployed widely across enterprise companies including through Cohere’s North platform. In this role, you’ll be working with a team developing new strategies for training models for advanced agent capabilities including reasoning, tool use, and memory. This includes developing data-generation techniques for post-training (SFT and RL*) Cohere’s models. Model advancements have direct impacts on North and other Cohere products creating an exciting opportunity where core model development leads to direct product advancements.

Job Responsibility:

  • Design and develop novel agentic solutions
  • Improve upon SOTA on hard agentic tasks
  • Research the next-generation of on-line learning-from-experience self-improvement
  • Work with partner teams (Reasoning, Post-training, Pre-training, etc.) to improve performance of agentic system
  • Work with an amazing team of researchers and engineers pushing the boundaries

Requirements:

  • Have a PhD in computer science or related field or similar industry research experience
  • Strong software engineering skills
  • Proficiency in Python and experience with ML-related code (e.g., pytorch, numpy, etc.)
  • Experience with LLMs and agentic frameworks
  • Experience with post-training LLMs (SFT, PEFT, or RL*)
  • Experience with building synthetic data generation pipelines
What we offer:
  • 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!)

Additional Information:

Job Posted:
February 20, 2026

Employment Type:
Fulltime
Work Type:
Remote work
Icon
Cohere - All Job Offers
Job Link Share:
Copy Link Icon
Facebook Icon Twitter Icon LinkedIn Icon
PREMIUM
More languages and countries
+ Unlock 31694 hidden job offers
Languages
English Čeština Deutsch Ελληνικά Español Français +15
Countries
United States United Kingdom India Canada Australia +
See plans
Plans from $2.99 / month

Looking for more opportunities? Search for other job offers that match your skills and interests.

Briefcase Icon

Similar Jobs for Member of Technical Staff, Agents Modeling

Member of technical staff - Research - Model

H exists to push the boundaries of superintelligence with agentic AI. By automat...
Location
Location
France; United Kingdom , Paris; London
Salary
Salary:
Not provided
hcompany.ai Logo
H Company
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Strong programming skills (Python, Git)
  • Expertise in deep learning frameworks (PyTorch, JAX, TensorFlow)
  • Experience with large-scale distributed training of LLMs and VLMs
  • Hands-on experience with LLM training, alignment, and reinforcement learning
  • Knowledge of multimodal architectures and applications
  • Publications in top-tier AI conferences (e.g., NeurIPS, ICML, CVPR, ACL, ICCV)
  • Advanced degree (PhD or MSc) in a relevant field (e.g., ML, DL, NLP, CV)
  • Excellent communication and presentation skills
  • Strong collaboration and teamwork skills
  • Passion for AI and problem-solving
Job Responsibility
Job Responsibility
  • Develop and train advanced LLMs and VLMs, including multimodal architectures
  • Research and implement training methods for enhanced capabilities like instruction following and tool use
  • Design and optimize data pipelines and training systems for large-scale distributed training
  • Collaborate with cross-functional teams to integrate models into agentic AI systems
  • Evaluate model performance and communicate findings to stakeholders
  • Stay current with advancements in LLMs, VLMs, and related fields
What we offer
What we offer
  • Join the exciting journey of shaping the future of AI, and be part of the early days of one of the hottest AI startups
  • Collaborate with a fun, dynamic and multicultural team, working alongside world-class AI talent in a highly collaborative environment
  • Enjoy a competitive salary
  • Unlock opportunities for professional growth, continuous learning, and career development
  • Fulltime
Read More
Arrow Right

Member of technical staff - Research - Agent

About H: H exists to push the boundaries of superintelligence with agentic AI. B...
Location
Location
France; United Kingdom , Paris; London
Salary
Salary:
Not provided
hcompany.ai Logo
H Company
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Senior Experience: Previous demonstrable role(s) as a Staff, Principal, or Senior Engineer (or equivalent Research Scientist) in a Frontier AI Lab with a proven track record of leading complex, end-to-end AI/ML projects from conception to production
  • Education / Publication: Preferably PhD (or equivalent research experience) in Machine Learning, Computer Science, or a related field, preferably with a strong publication record (e.g., NeurIPS, ICML, ICLR) in Computer Science
  • Core Expertise: Deep theoretical and practical expertise in Agentic AI and proven experience building, scaling, and shipping solutions involving foundation models (LLMs/VLMs)
  • Soft Skills: Collaborative: Enjoys collaboration and thrives in a teamwork-oriented, fast-paced research environment
  • High-Impact Communicator: Possesses impactful communication skills, with the ability to bridge the gap between research and engineering and articulate complex ideas clearly
  • Mission-Driven: Genuinely eager to explore and solve the new engineering and research challenges at the frontier of agentic AI
Job Responsibility
Job Responsibility
  • Research & Leadership: Design and develop new agents, proposing new research directions, e.g., combining state-of-the-art RL with foundation models (LLMs/VLMs)
  • Algorithm & Systems Design: Design, implement, and scale complex, high-performance systems for training large-scale agents. This includes both the foundational infrastructure and the novel algorithms, reward models, and sophisticated training environments
  • Research-to-Production: Collaborate closely with researchers and engineers to implement, test, and productionize new agent logics, learning algorithms, and system architectures
  • Evaluation & Reliability: Create, manage, and scale massive benchmarks and evaluation systems to rigorously track agent capabilities. You will own system reliability, scalability, and observability for our entire research infrastructure
  • Mentorship & Standards: Mentor and guide other engineers and researchers on the team, fostering technical excellence. You will establish and enforce engineering standards, tooling, and best practices for both code and research design
  • Innovation: Conduct thorough code and design reviews, champion technical innovation, and proactively address technical debt to accelerate the R&D lifecycle
What we offer
What we offer
  • Join the exciting journey of shaping the future of AI, and be part of the early days of one of the hottest AI startups
  • Collaborate with a fun, dynamic, and multicultural team, working alongside world-class AI talent in a highly collaborative environment
  • Enjoy a competitive salary
  • Unlock opportunities for professional growth, continuous learning, and career development
  • Fulltime
Read More
Arrow Right

Member of Technical Staff, Agent Code

Code-generating LLMs and autonomous agents are revolutionizing how software is b...
Location
Location
Salary
Salary:
Not provided
cohere.com Logo
Cohere
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • PhD in Computer Science, Machine Learning, or a related field, with publications in top-tier venues (e.g., NeurIPS, ICML, ICLR, ACL, EMNLP)
  • Deep expertise in code LLMs and agent systems, with a strong understanding of the latest research and trends
  • Hands-on experience with frontier LLMs and their applications in code generation or automation
  • Strong software engineering skills, with proficiency in Python and PyTorch, TensorFlow, or similar frameworks
  • Experience with distributed systems, cloud infrastructure, and scalable architectures
  • A proactive, self-motivated mindset, with a passion for solving ambitious, open-ended problems
Job Responsibility
Job Responsibility
  • Stay up-to-date with the latest research in code LLMs, agents, and related fields, implementing novel ideas into our systems
  • Design and implement scalable strategies to train code models, and deploy agent frameworks for inference and sampling
  • Hillclimb on existing benchmarks and design new ones that reflect the needs of our enterprise users
  • Lead experiments on our state-of-the-art compute infrastructure, pushing the boundaries of what’s possible with frontier LLMs
What we offer
What we offer
  • 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!)
  • Fulltime
Read More
Arrow Right

Member of Technical Staff, Senior/Staff MLE

This is not a typical “Applied Scientist” or “ML Engineer” role. As a Member of ...
Location
Location
United States; Canada , San Francisco; New York; Toronto; Montreal
Salary
Salary:
Not provided
cohere.com Logo
Cohere
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 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
Job Responsibility
Job Responsibility
  • 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
What we offer
What we offer
  • 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!)
  • Fulltime
Read More
Arrow Right

Member of Technical Staff - Machine Learning

As a Member of Technical Staff - Machine Learning, you will work to create LLM m...
Location
Location
United States , Mountain View
Salary
Salary:
100600.00 - 199000.00 USD / Year
https://www.microsoft.com/ Logo
Microsoft Corporation
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's Degree in Computer Science or related technical field AND 2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience
  • Master's degree in Computer Science or related technical field AND 1+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience
  • Doctorate in Computer Science, Machine Learning, Human-Centered AI or related field and experience in (e.g., finetuning models with supervision or reinforcement learning, understanding and fixing data quality and curation, working with collaborators on creating new products)
  • Experience in machine learning, software engineering
  • Effective communicator and great teammate
  • Takes the initiative, is user-centered and enjoys building world-class AI experiences and products in a fast-paced environment
Job Responsibility
Job Responsibility
  • Own and pursue a research agenda to improve model capability and performance for agentive application
  • Collaborate closely with the other research and product teams, from pretraining to model hosting to unlock new model capabilities
  • Build robust evaluations for tracking modeling improvements
  • Design, implement, test, and debug code across our research stack
  • Work to create LLM models for general purpose capabilities and for products
  • Developing new methods to train core LLM capabilities (including agentive), collecting data, evaluating LLMs, creating data flywheels, tooling for LLM training/evals, writing production quality code, and creating new user-facing features
  • Creating Reinforcement Learning data, fine tuning, or training classifiers or engineering prompts to create SOTA foundation models and support Microsoft products and the Cloud API
  • Fulltime
Read More
Arrow Right

Member of Technical Staff - Machine Learning

As a Member of Technical Staff - Machine Learning, you will work to create LLM m...
Location
Location
United States , Mountain View
Salary
Salary:
163000.00 - 296400.00 USD / Year
https://www.microsoft.com/ Logo
Microsoft Corporation
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
  • OR equivalent experience
  • Demonstrated engineering experience or research experience (e.g. creating or leading the creation of a feature in a different company, complex graduate work, research papers, or other experience)
  • Experience prompting, evaluating, and working with large language models
  • Experience writing production-quality Python code
Job Responsibility
Job Responsibility
  • Own and pursue a research agenda to improve model capability and performance for agentive application
  • Collaborate closely with the other research and product teams, from pretraining to model hosting to unlock new model capabilities
  • Build robust evaluations for tracking modeling improvements
  • Design, implement, test, and debug code across our research stack
  • Fulltime
Read More
Arrow Right

Member of Technical Staff - Machine Learning

As a Member of Technical Staff - Machine Learning (AI Team), you will work to cr...
Location
Location
United States , Mountain View
Salary
Salary:
119800.00 - 234700.00 USD / Year
https://www.microsoft.com/ Logo
Microsoft Corporation
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience
  • Doctorate in Computer Science, Machine Learning, Human-Centered AI or related field AND 2+ year(s) experience (e.g., finetuning models with supervision or reinforcement learning, understanding and fixing data quality and curation, working with collaborators on creating new products)
  • OR Master's Degree in Computer Science, Machine Learning, or related field AND 5+ years experience (e.g., managing structured and unstructured data, developing and debugging models, creating infrastructure for AI-powered products)
  • OR Bachelor's Degree in Computer Science, Mathematics, Machine Learning, Physics, or related field AND 7+ years data-science experience (e.g., managing structured and unstructured data, applying machine learning techniques and driving product direction)
  • Demonstrated engineering experience or research experience (e.g. creating or leading the creation of a feature in a different company, complex graduate work, research papers, or other experience)
  • 4+ years of data science experience (e.g., managing structured and unstructured data, applying machine learning techniques and driving product direction)
  • Experience prompting, evaluating, and working with large language models
  • Experience writing production-quality Python code
Job Responsibility
Job Responsibility
  • Leverage subject matter expertise to improve model quality for interactive and agentive experiences
  • Oversee data acquisition or generation efforts, ensuring that the data meets the model needs
  • Generalize machine learning (ML) solutions into repeatable frameworks
  • Lead evaluation efforts of models, including those deployed within Microsoft products and the Cloud API
  • Track advances in industry and academia, identifies relevant state-of-the-art research, and adapts algorithms and/or techniques to drive innovation and develop new solutions
  • Independently write efficient, readable, extensible code and model pipelines
  • Commit to a customer-oriented focus by acknowledging customer needs and perspectives and building AI products that delight customers
  • Fulltime
Read More
Arrow Right

Member of Technical Staff, Post-Training

Advance the state of the art for model post training, ship state of the art mode...
Location
Location
Salary
Salary:
Not provided
cohere.com Logo
Cohere
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Extremely strong software engineering skills
  • Proficiency in Python and related ML frameworks such as JAX, Pytorch and XLA/MLIR
  • Experience with distributed training infrastructures (Kubernetes, Slurm) and associated frameworks (Ray)
  • Experience using large-scale distributed training strategies
  • Hands on experience on training large model at scale
  • Hands on experience with the post training phase of model training, with a strong emphasis on performance optimisation
Job Responsibility
Job Responsibility
  • Design and write high-performant and scalable software for training models
  • Consistently post-train the models to reach SOTA level performance
  • Coordinate with other specialist teams (Agentic, Code…) to produce models that have strong all encompassing performance
  • Craft and implement techniques to improve the performance and results of our training cycles both on the SFT and the RL regime
  • Research, implement, and experiment with ideas on our supercompute and data infrastructure
  • Learn from and work with the best researchers in the field
What we offer
What we offer
  • 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!)
  • Fulltime
Read More
Arrow Right