Staff Research Engineer, Model Efficiency Job at Cohere

Sr. Staff Thermal Design and Modeling Engineer

The Enphase Energy Storage and Systems Innovation team in the office of the CTO ...

Location

United States , Austin

Salary:

110000.00 - 167000.00 USD / Year

Enphase Energy

Expiration Date

Until further notice

Requirements

BS/MS/PhD Mechanical Engineering or closely related discipline
Minimum experience: BS and 5+ years / MS and 3+ years / PhD with thermal design experience for a Senior Engineer
BS and 8+ years / MS and 6+ years / PhD and 3+ years thermal design experience for a Staff Engineer
BS and 12+ years / MS and 8+ years / PhD and 5+ years thermal design experience for a Sr. Staff Engineer
Significant experience designing active and passive thermal management solutions within a product and with key thermal components such as heat sinks, air flow systems, coolant systems, multi-phase cooling, phase change materials, and thermal interface materials
Excellent understanding of conduction, convection, and radiation
Experience with analytical approaches and simulation tools for thermal modeling (e.g., Solidworks Flow Sim, Fluent, Icepak, COMSOL, etc.)
High proficiency with an enterprise CAD package (Solidworks preferred)
Experience designing test plans, building experimental setups, collecting data, and analyzing results for thermal performance
Familiarity with design for manufacturability and reliability

Job Responsibility

Design, integrate, and validate thermal management solutions for Enphase energy storage and systems products
Build, update, and analyze computational models including heat transfer, combustion, and air flow to simulate thermal performance in energy storage and systems products
Specify key functional and performance requirements
design and execute verification test plans
Design high quality mechanical and electromechanical part and assembly designs efficiently and with good modeling practices
Produce 2D drawings and 3D CAD models, evaluate parts, and collaborate with a multi-disciplinary design team, suppliers, and contract manufacturing partners to develop product prototypes
Research, analyze, implement, and test advanced thermal management technologies to support innovative energy storage and system product designs
Complete documentation for design, testing, and analysis
Hands-on fabrication of electromechanical assemblies and prototypes
Work with a multi-disciplinary team to test and troubleshoot prototype designs

What we offer

bonus
equity
benefits

Fulltime

Member of Technical Staff, Research

As a Member of Technical Staff on the Research team, you’ll push the boundaries ...

Location

United States , San Mateo

Salary:

175000.00 - 240000.00 USD / Year

Fireworks AI

Expiration Date

Until further notice

Requirements

Research background in Artificial Intelligence, Machine Learning, Physics, or similar field
Experience solving analytical problems using analytic and quantitative approaches
Experience communicating research to audiences with different backgrounds
Experience coding in C/C++, Python, or other similar languages

Job Responsibility

Conduct foundational research to advance the capabilities, efficiency, and reliability of LLMs and multimodal systems
Design, implement, and evaluate novel model architectures, training methods, and optimization techniques
Collaborate with engineering teams to transition research prototypes into production-grade systems
Analyze empirical results, identify performance bottlenecks, and iterate quickly to improve model quality
Contribute to internal research strategy by identifying high-impact opportunities and emerging trends in AI

What we offer

Meaningful equity in a fast-growing startup
Competitive salary
Comprehensive benefits package

Fulltime

Sr. Staff Mechanical Design Engineer

The Enphase Energy Storage and Systems Innovation team in the office of the CTO ...

Location

United States , Austin

Salary:

110000.00 - 167000.00 USD / Year

Enphase Energy

Expiration Date

Until further notice

Requirements

BS/MS/PhD Mechanical Engineering or closely related discipline
Minimum experience: BS and 5+ years / MS and 3+ years / PhD with mechanical design experience for a Senior Engineer
BS and 8+ years / MS and 6+ years / PhD and 3+ years mechanical design experience for a Staff Engineer
BS and 12+ years / MS and 8+ years / PhD and 5+ years mechanical design experience for a Sr. Staff Engineer
Significant experience in product and part mechanical design
Expertise leveraging various high volume manufacturing approaches such as sheet metal stamping, die casting, extrusion, forging, laser welding, CNC machining, thermoforming, silicone/rubber molding, injection molding, etc.
Proficiency with structural FEA and analyses for vibration, fatigue, and load bearing
Experience designing products for manufacturability and reliability
High proficiency with an enterprise CAD package (Solidworks preferred)
Outdoor product design experience for various ingress protection environments

Job Responsibility

Design high quality mechanical and electromechanical part and assembly designs efficiently and with good modeling practices
Produce 2D drawings and 3D CAD models, evaluate parts, and collaborate with a multi-disciplinary design team, suppliers, and contract manufacturing partners to develop product prototypes
Specify key functional and performance requirements
design and execute verification test plans
Perform mechanical analysis, structural FEA, vibration and shock analysis, FMEA, and design verification testing to inform designs and resolve issues and failures in prototype products
Research, analyze, implement, and test new materials and technologies to support innovative energy storage and system product designs
Complete documentation for design, testing, and analysis
Hands-on fabrication of electromechanical assemblies and prototypes
Work with a multi-disciplinary team to test and troubleshoot prototype designs
Mentor junior staff

What we offer

bonus
equity
benefits

Fulltime

Staff Machine Learning Engineer

Are you excited by the challenge of pushing the boundaries of what modern AI mod...

Location

United States , Austin

Salary:

Not provided

Orbis Consultants

Expiration Date

Until further notice

Requirements

Advanced degree in Computer Science or a related field (PhD preferred)
6+ years of industry experience building and deploying machine learning models at scale
Deep expertise in LLMs, Mixture-of-Experts architectures, and modern ML frameworks such as PyTorch or TensorFlow
Demonstrated innovation through impactful research, patents, or production-grade ML systems
Ability to lead complex, cross-functional technical initiatives
Strong problem-solving skills and a passion for pushing the boundaries of AI

Job Responsibility

Architect, train, and optimize cutting-edge LLMs and MoE-based systems
Experiment with novel algorithms to improve efficiency, scalability, and model performance
Collaborate closely with engineering and product teams to deploy ML capabilities into production
Contribute to pioneering research in ML and NLP, driving methodological advancements
Mentor engineers and help shape technical best practices across the organisation

What we offer

Competitive compensation and performance incentives
Comprehensive medical, dental, and vision benefits
Monthly wellness stipend + annual continuing education credit
A flexible work environment and unlimited approved PTO
Parental and bereavement leave and other employee support programs
Relocation support available

Fulltime

Senior Staff Machine Learning Engineer (AI Agent)

At Cresta, the AI Agent team is on a mission to create state-of-the-art AI Agent...

Location

United States; Canada

Salary:

Not provided

Cresta

Expiration Date

Until further notice

Requirements

Bachelor’s Degree in Computer Science, Mathematics, or a related field
Master’s or Ph.D. preferred, or equivalent professional experience
7+ years of hands-on industry experience with AI and machine learning
3+ years of experience working with LLMs in large-scale production environments
Expert knowledge of machine learning concepts and methods, especially those related to NLP, Generative AI, and working with LLMs
Proven leadership in designing and deploying AI solutions at scale
Extensive practical knowledge of modern machine learning frameworks and technologies (e.g., PyTorch, Tensorflow, Hugging Face, NumPy)
Experience with distributed systems and cloud-based AI infrastructure
Strong problem-solving and strategic thinking abilities
Proven ability to lead cross-functional teams and work collaboratively to deliver innovative AI solutions in production

Job Responsibility

Design, develop, and deploy Cresta’s AI Agent solutions and proprietary models
Focus on practical AI challenges such as improving reasoning, planning capabilities, and evaluation in real-world scenarios
Collaborate with cross-functional teams including front-end and back-end software engineers to integrate AI Agents into Cresta’s customer solutions
Lead initiatives to scale AI systems for production environments, ensuring performance and reliability across use cases
Contribute to solving cutting-edge problems in AI and help define the future roadmap for Cresta’s AI Agents
Innovate and research ways to improve security, cost-efficiency, and reliability of AI systems

What we offer

Variety of medical, dental, and vision plans
Paid parental leave
Monthly Health & Wellness allowance
Work from home office stipend
Lunch reimbursement for in-office employees
PTO: 3 weeks in Canada
Base salary, equity, and a variety of benefits

Fulltime

New

Senior Research Engineer, Model Evaluation

Evaluation is critical to making progress in scaling intelligence. As models con...

Location

United States; Canada; United Kingdom , Toronto; New York; Seattle; San Francisco; London

Salary:

Not provided

Cohere

Expiration Date

Until further notice

Requirements

You enjoy pushing the limits of what LLMs are capable of, and you have built high-quality evaluation resources to measure those capabilities (datasets, simulators, environments, etc.)
You have a track record of developing new methods and/or data to evaluate LLMs, e.g. publications at top-tier conferences, popular benchmarks, etc.
You have deep experience building with and around LLMs, and you have built tools for analyzing and understanding their performance
You have strong software engineering skills

Job Responsibility

Develop evaluation benchmarks, datasets, and environments for measuring the bleeding edge of model capabilities
Conduct research to push the state-of-the-art in LLM evaluation methods, including training LLM judges
improving evaluation efficiency
and scalably building high-quality datasets
Build scalable tools for investigating and understanding evaluation results that are used by all members of technical staff at Cohere, as well as leadership and our CEO
Learn from and work with the best researchers and engineers in the field

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

New

Member of Technical Staff, Integration/RL Team (Research Engineer)

The integration team is responsible for developing and scaling machine learning ...

Location

Salary:

Not provided

Cohere

Expiration Date

Until further notice

Requirements

Extremely strong software engineering skills
Value test-driven development methods, clean code, and strive to reduce technical debts at all levels
Proficiency in Python and related ML frameworks such as JAX, Pytorch and/or XLA/MLIR
Experience using and debugging large-scale distributed training strategies (memory/speed profiling)
[Bonus] Experience with distributed training infrastructures (Kubernetes) and associated frameworks (Ray)
[Bonus] Hands-on experience with the post-training phase of model training, with a strong emphasis on scalability and performance
[Bonus] Experience in ML, LLM and RL academic research

Job Responsibility

Design and write high-performing and scalable software for training models
Develop new tools to support and accelerate research and LLM training
Coordinate with other engineering teams (Infrastructure, Efficiency, Serving) and the scientific teams (Agent, Multimodal, Multilingual, etc.) to create a strong and integrated post-training ecosystem
Craft and implement techniques to improve performance and speed up our training cycles, both on SFT, offline preference, and the RL regime
Research, implement, and experiment with ideas on our cluster and data infrastructure
Collaborate, Collaborate, and Collaborate with other scientists, engineers, and teams!

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

New

Member of Technical Staff, Data Engineering

As a Data Engineer specializing in pretraining data, you will play a pivotal rol...

Location

Salary:

Not provided

Cohere

Expiration Date

Until further notice

Requirements

Strong software engineering skills, with proficiency in Python and experience building data pipelines
Familiarity with data processing frameworks such as Apache Spark, Apache Beam, Pandas, or similar tools
Experience working with large-scale web datasets like CommonCrawl
A passion for bridging research and engineering to solve complex data-related challenges in AI model training

Job Responsibility

Design and build scalable data pipelines to ingest, parse, filter, and optimize diverse web datasets
Conduct data ablations to assess data quality and experiment with data mixtures to enhance model performance
Develop robust data modeling techniques to ensure datasets are structured and formatted for optimal training efficiency
Research and implement innovative data curation methods, leveraging Cohere’s infrastructure to drive advancements in natural language processing
Collaborate with cross-functional teams, including researchers and engineers, to ensure data pipelines meet the demands of cutting-edge language models

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

Staff Research Engineer, Model Efficiency

Cohere

Location:

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:
February 20, 2026

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