Member of Technical Staff, MLE Job at Cohere (London)

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

Member of Technical Staff, MLE

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

Location

Korea

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 Korean, fluency preferred

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

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

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

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

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

Prepared Meals and Rotisserie Chicken Associate

Do you have a knack for helping people, following recipes, and organization? Our...

Location

United States , Denham Springs

Salary:

17.00 - 25.00 USD / Hour

Walmart

Expiration Date

Until further notice

Requirements

Must be 18 years of age or older
I acknowledge that the position for which I am applying requires me to successfully complete all job required trainings and assessments within a prescribed time period if I receive the position

Job Responsibility

Ensuring high-quality products are available in our prepared foods area
Ensuring shelves are clean, maintaining temperature control, verifying expiration dates, and disposing of lesser-quality food products
Preparing and serving ready-to-eat food
Maintains the Sales Floor in accordance with Company policies and procedures by properly handling claims and returns, zoning the area, arranging and organizing merchandise, and identifying shrink and damages
Maintaining a clean, sanitized, and member-ready area
Be a Team Member: Maintains up-to date knowledge of product specifications related to prepared food merchandise
collaborating with cross functional teams and helping educate other associates on tools, tasks and resources
communicating effectively with the members of the team
and being flexible to the needs of the business to work in other areas
Be an Expert: Prepares food according to item specifications

What we offer

Health benefits include medical, vision and dental coverage
Financial benefits include 401(k), stock purchase and company-paid life insurance
Paid time off benefits include PTO, parental leave, family care leave, bereavement, jury duty, and voting
short-term and long-term disability
company discounts
Military Leave Pay
adoption and surrogacy expense reimbursement
Live Better U education benefit program
Additional compensation in the form of premiums may be paid in amounts ranging from $0.35 per hour to $3.00 per hour in specific circumstances

Fulltime

New

Bursar

The Bursar provides strategic leadership and oversight for the institution's stu...

Location

United States , Richmond

Salary:

Not provided

Eastern Kentucky University

Expiration Date

Until further notice

Requirements

Bachelor degree required
5 years of related work experience is required

Job Responsibility

Provide leadership and direction for the Student Accounts/Bursar's Office, including supervision, training, and evaluation of departmental staff
Manage all aspects of student billing, tuition and fee assessment, payment processing, and account reconciliation
Serve as the institutional authority on student account policies, federal and state regulations
Prepare, analyze, and present financial and operational reports
Participate in institutional committees and initiatives to enhance the student financial experience

Fulltime

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Member of Technical Staff, MLE

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Requirements

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What we offer

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Member of Technical Staff, MLE

Senior Member of Technical Staff, MLE

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Member of Technical Staff, MLE

Member of Technical Staff, MLE

Member of Technical Staff, Senior/Staff MLE

Prepared Meals and Rotisserie Chicken Associate

Bursar

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