Member of Technical Staff, MLE Job at Cohere

New

Senior Member of Technical Staff, MLE

As a Member of Technical Staff on our Applied ML team, you will work directly wi...

Location

Saudi Arabia; United Arab Emirates , Riyadh; Dubai

Salary:

Not provided

Cohere

Expiration Date

Until further notice

Requirements

Prior experience in leading ML teams in applied research and production
Prior experience in setting as well as executing technical direction to build new or to refine existing products
Prior experience in working cross-discipline in matrixed organizations
Proficiency in Python and related ML frameworks such as Tensorflow, TF-Serving, JAX, and XLA/MLIR
Experience using large-scale distributed training and inference
Strong mentorship, communication, and problem-solving skills
A demonstrated passion for applied ML models and products
Working proficiency in Arabic

Job Responsibility

Plan and execute large-group projects that carry through from ideation to production
Bring cross-functional alignment across engineering, product and other disciplines
Mentor a distributed team of engineers in subject matter expertise
Identify opportunities and gaps in existing models and strategize what to work on
Work closely with product teams to develop solutions
Engage in collaborations with our partner organizations
Assist our legal teams with preparation of patents on developed IP

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, MLE

As a Member of Technical Staff on our Applied ML team, you will work directly wi...

Location

United Kingdom; France , London; Paris

Salary:

Not provided

Cohere

Expiration Date

Until further notice

Requirements

Prior experience in leading ML teams in applied research and production
Prior experience in setting as well as executing technical direction to build new or to refine existing products
Prior experience in working cross-discipline in matrixed organizations
Proficiency in Python and related ML frameworks such as Tensorflow, TF-Serving, JAX, and XLA/MLIR
Experience using large-scale distributed training and inference
Strong mentorship, communication, and problem-solving skills
A demonstrated passion for applied ML models and products

Job Responsibility

Plan and execute large-group projects that carry through from ideation to production
Bring cross-functional alignment across engineering, product and other disciplines
Mentor a distributed team of engineers in subject matter expertise
Identify opportunities and gaps in existing models and strategize what to work on
Work closely with product teams to develop solutions
Engage in collaborations with our partner organizations
Assist our legal teams with preparation of patents on developed IP

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, MLE

This is not a typical “Applied Scientist” or “ML Engineer” role. As a Member of ...

Location

Singapore

Salary:

Not provided

Cohere

Expiration Date

Until further notice

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 (or the ability to learn) 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
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

Job Responsibility

Contribute to 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 as part of Cohere’s customer facing MLE team to identify high-value opportunities where LLMs can unlock transformative impact to our enterprise customers

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, MLE

At Cohere, our Members of Technical Staff are at the forefront of defining and s...

Location

Salary:

Not provided

Cohere

Expiration Date

Until further notice

Requirements

Extremely strong software engineering skills
Proficiency in Python and related ML frameworks such as Tensorflow, TF-Serving, JAX, and XLA/MLIR
Deep experience in building and leading a product-centric organisation
Direct experience working as part of a team building Large Language Models
Released multiple features with several iterations
Strong track record of creating and curating large-scale datasets
Experience using large-scale distributed training strategies
Familiarity with autoregressive sequence models, such as Transformers
Ability to collaborate effectively with human annotators and cross-functional teams
Paper at top-tier venues (such as NeurIPS, ICML, ICLR, AIStats, MLSys, JMLR, AAAI, Nature, COLING, ACL, EMNLP)

Job Responsibility

Join a small, diverse team of engineers in designing, building, and scaling AI systems that underpin our suite of dev-centric enterprise products
Work directly on North, Cohere’s all-in-one secure AI workspace platform. Here you will drive agent development in RAG, tool use, and language agents embedded in North
Quickly research and experiment with novel ideas on our supercomputer and data infrastructure, ensuring our products remain at the forefront of the industry
Collaborate with top researchers, engineers, and annotators to create and evaluate data for post-training LLMs, ensuring our products are of the highest quality and performance
Engage with the latest AI and deep learning research, staying up to date with leading conferences such as NeurIPS, ICLR, and AAAI
Leverage product data to understand usage patterns and identify areas for improvement, ensuring our products remain relevant and competitive
Work closely with leadership to shape company strategy and goals, ensuring our product vision is aligned with our overall business objectives

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, MLE

Our mission is to scale intelligence to serve humanity. We’re training and deplo...

Location

United States; Canada , San Francisco; New York; Toronto; Montreal

Salary:

Not provided

Cohere

Expiration Date

Until further notice

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 (or the ability to learn) 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
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

Job Responsibility

Contribute to 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 as part of Cohere’s customer facing MLE team to identify high-value opportunities where LLMs can unlock transformative impact to our enterprise customers

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, Senior/Staff MLE

This is not a typical “Applied Scientist” or “ML Engineer” role. As a Member of ...

Location

United States; Canada , San Francisco; New York; Toronto; Montreal

Salary:

Not provided

Cohere

Expiration Date

Until further notice

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

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

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

Financial Markets Advisory, Associate

Financial Markets Advisory (FMA) provides a differentiated range of advisory ser...

Location

India , Gurgaon

Salary:

Not provided

BlackRock Investments

Expiration Date

April 06, 2026

Requirements

1-4 years of proven experience in fixed income space, preferably in valuation and risk assessment of securitized products such as mortgaged backed securities (RMBS, CMBS, etc), asset backed securities, CLOs, etc.
Interest in understanding financial institutions and their capital markets considerations
Excellent problem-solving abilities and intellectual curiosity
Passion for data and analytical work and in performing sophisticated analyses
Meticulous attention to detail and strong sense of initiative and ownership
Comfort with constantly adapting and learning new skills as markets and our clients’ needs evolve
able to navigate diverse projects with varied requirements
Strong PowerPoint presentation skills and very good communication abilities
Proven ability to manage stakeholders effectively across functions and geographies

Job Responsibility

Work on a diverse set of client engagements as part of multi-disciplinary project teams
Develop and use data and analytical skills to create, review, and deliver analyses to clients, frequently using BlackRock proprietary technology platforms
Apply creative solutions to solve client objectives and challenges
Gain subject matter expertise about financial institutions and relevant capital markets and sustainability objectives
Play a meaningful role in the design and enhancement of processes and tools
Craft and implement solutions to address a variety of client objectives
Have frequent interaction and engagement with FMA team members globally and with partner teams across the firm
Gain exposure to senior internal and external leaders on a range of complex financial topics
Participate in client pitches, presentations, and deliverables

What we offer

Strong retirement plan
tuition reimbursement
comprehensive healthcare
support for working parents
Flexible Time Off (FTO)

Fulltime

New

Financial Markets Advisory, Associate

Financial Markets Advisory (FMA) provides a differentiated range of advisory ser...

Location

India , Mumbai

Salary:

Not provided

BlackRock Investments

Expiration Date

April 06, 2026

Requirements

1-4 years of proven experience in fixed income space, preferably in valuation and risk assessment of securitized products such as mortgaged backed securities (RMBS, CMBS, etc), asset backed securities, CLOs, etc.
Interest in understanding financial institutions and their capital markets considerations
Excellent problem-solving abilities and intellectual curiosity
Passion for data and analytical work and in performing sophisticated analyses
Meticulous attention to detail and strong sense of initiative and ownership
Comfort with constantly adapting and learning new skills as markets and our clients’ needs evolve
able to navigate diverse projects with varied requirements
Strong PowerPoint presentation skills and very good communication abilities
Proven ability to manage stakeholders effectively across functions and geographies

Job Responsibility

Work on a diverse set of client engagements as part of multi-disciplinary project teams
Develop and use data and analytical skills to create, review, and deliver analyses to clients, frequently using BlackRock proprietary technology platforms
Apply creative solutions to solve client objectives and challenges
Gain subject matter expertise about financial institutions and relevant capital markets and sustainability objectives
Play a meaningful role in the design and enhancement of processes and tools
Craft and implement solutions to address a variety of client objectives
Have frequent interaction and engagement with FMA team members globally and with partner teams across the firm
Gain exposure to senior internal and external leaders on a range of complex financial topics
Participate in client pitches, presentations, and deliverables

What we offer

Strong retirement plan
tuition reimbursement
comprehensive healthcare
support for working parents
Flexible Time Off (FTO)

Fulltime

Member of Technical Staff, MLE

Cohere

Location:
Korea

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
February 20, 2026

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Job Posted:
February 20, 2026