Member of Technical Staff, Synthetic Data Job at Cohere

Member of Technical Staff - ML Research Engineer, Data

Our Data team powers Liquid Foundation Models across pre-training, vision, audio...

Location

United States , San Francisco; Boston

Salary:

Not provided

Liquid AI

Expiration Date

Until further notice

Requirements

Strong Python skills with the ability to quickly comprehend problems and translate them into clean, working code
Solid ML fundamentals: experience training, evaluating, and iterating on models (PyTorch preferred)
Track record of learning new technical domains quickly
3+ years relevant experience with an M.S., or 1+ year with a Ph.D. (5+ years with a B.S.)

Job Responsibility

Build and maintain data processing, filtering, and selection pipelines at scale
Create pipelines for pretraining, midtraining, SFT, and preference optimization datasets
Design synthetic data generation systems using LLMs, structured prompting, and domain-specific generators
Design and run evaluations and ablations to measure dataset's impact on model performance
Monitor public datasets across text, vision, and audio domains
Collaborate with pre-training, vision, and audio teams on modality-specific data needs

What we offer

Competitive base salary with equity in a unicorn-stage company
We pay 100% of medical, dental, and vision premiums for employees and dependents
401(k) matching up to 4% of base pay
Unlimited PTO plus company-wide Refill Days throughout the year

Fulltime

Member of Technical Staff, Microsoft Robotics (Robotics Simulation)

Microsoft’s Discovery and Quantum (MDQ) division develops and delivers advanced ...

Location

United States , Redmond

Salary:

119800.00 - 234700.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

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.
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud Background Check upon hire/transfer and every two years thereafter.

Job Responsibility

Design and build automated pipelines for converting reality capture data (photogrammetry, LiDAR point clouds, depth camera scans, 360-degree imagery) into physics-ready 3D simulation assets with accurate geometry, collision meshes, material properties, and articulation definitions.
Develop and maintain toolchains for physics-ready 3D asset generation, including mesh optimization, UV unwrapping, PBR material assignment, collision hull generation, mass/inertia parameter estimation, and annotation of semantic and functional properties.
Integrate reality capture hardware and software workflows (e.g., NeRF, Gaussian splatting, structured light scanning, photogrammetry reconstruction) with the simulation platform’s asset ingestion pipeline.
Build 3D reconstruction workflows that enable rapid creation of simulation environments from real-world facility scans, supporting robotics deployment planning, testing, and validation.
Create and maintain asset toolchains supporting industry-standard formats (USD/OpenUSD, glTF, FBX, OBJ) with appropriate physics and simulation metadata for import into robotics simulation engines.
Develop synthetic data generation pipelines that leverage high-fidelity 3D assets to produce training data for perception, manipulation, and navigation models, including domain-randomized variations of materials, lighting, object placement, and camera viewpoints.
Collaborate with robotics engineers, ML researchers, and perception scientists to define asset fidelity requirements, validate simulation-to-reality visual and physical accuracy, and iterate on asset quality based on downstream model performance.
Implement quality assurance and validation workflows for 3D assets, including automated checks for mesh integrity, physics parameter consistency, rendering fidelity, and simulation stability.
Review code and technical designs to ensure adherence to team standards for 3D pipeline performance, asset management, and data integrity.
Remain current in 3D reconstruction, neural rendering, and asset generation research, proactively evaluating new techniques (e.g., generative 3D models, neural radiance fields, 3D Gaussian splatting) for integration into the platform.

What we offer

Certain roles may be eligible for benefits and other compensation.

Fulltime

Member of Technical Staff - ML Engineer / Scientist (JP Localization)

At Liquid, we’re not just building AI models—we’re redefining the architecture o...

Location

Japan , Tokyo

Salary:

Not provided

Liquid AI

Expiration Date

Until further notice

Requirements

Deep understanding of the Japanese model evaluation landscape and familiarity with Japanese pre-training data sources
Experience using modeling and inference tools such as Huggingface inference, vLLM, and cloud APIs

Job Responsibility

Identify, collect, and curate diverse high-quality Japanese text, audio, and multimodal datasets
Design methods to synthetically generate or augment Japanese training data when needed
Ensure datasets meet enterprise-grade quality, coverage, and compliance requirements
Train and fine-tune language and vision models to achieve state-of-the-art performance for Japanese enterprise use cases
Adapt existing LFMs for Japanese language, culture, and enterprise-specific workflows
Implement evaluation frameworks to benchmark model quality on Japanese datasets
Design evaluation datasets and metrics for Japanese enterprise applications
Conduct thorough error analysis and iteratively improve model performance
Ensure robustness, fairness, and reliability in Japanese-language outputs

What we offer

Hands-on experience with state-of-the-art technology at a leading AI company
The opportunity to directly shape foundation model performance in one of the world’s most complex and nuanced languages
A collaborative, fast-paced environment where your work drives the next generation of LFMs

Fulltime

Member of Technical Staff - Forward Deployed Engineer

You will work directly on customer engagements that generate revenue. This is ha...

Location

United States , San Francisco, Boston

Salary:

Not provided

Liquid AI

Expiration Date

Until further notice

Requirements

Hands-on fine-tuning experience with modern LLMs (last 12-18 months): LoRA, PEFT, DPO, instruction tuning, or similar
Strong ML fundamentals: you understand how models learn, fail, and improve
Experience generating or curating training data to address model gaps
Autonomous coding and debugging skills in Python and PyTorch
Proficiency with open-source ML ecosystem (Hugging Face transformers, datasets, accelerate)
Fine-tunes models: You have hands-on experience with techniques like LoRA, PEFT, DPO, instruction tuning, or RLHF. You've written training loops, not just API calls
Works with modern architectures: Your experience includes models released in the last 12-18 months (Llama 3.x, Mistral, Gemma, Qwen, etc.), not just BERT or classical ML
Generates and curates data: You've created synthetic training data to address specific model failure modes. You understand how data quality drives model performance
Debugs methodically: When a model underperforms, you diagnose whether it's a data problem, architecture problem, or training problem, and you fix it
Ships to customers: You can translate ambiguous customer requirements into concrete technical specs and deliver against quality metrics

Job Responsibility

Fine-tune LFMs on customer data to hit quality and latency targets for on-device and edge deployments
Generate and curate training data to address specific model failure modes
Run experiments, track metrics, and iterate until customer success criteria are met
Translate ambiguous customer requirements into concrete technical specifications
Provide analytics to commercial teams for contract structuring and pricing
Work across text, vision, and audio modalities as customer needs require

What we offer

Competitive base salary with equity in a unicorn-stage company
We pay 100% of medical, dental, and vision premiums for employees and dependents
401(k) matching up to 4% of base pay
Unlimited PTO plus company-wide Refill Days throughout the year

Fulltime

Member of Technical Staff, Next Generation Agents

Agentic LLM systems are being deployed widely across enterprise companies includ...

Location

Salary:

Not provided

Cohere

Expiration Date

Until further notice

Requirements

Strong software engineering skills
Proficiency in Python and have some 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

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

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, Agents Modeling

We’re looking for an experienced machine learning researcher / engineer who can ...

Location

United States , New York

Salary:

Not provided

Cohere

Expiration Date

Until further notice

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

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

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

Ai Engineer

We are recruiting an AI Engineer for a direct contract with a company based in t...

Location

Portugal , Porto

Salary:

Not provided

Precise

Expiration Date

Until further notice

Requirements

2+ years experience working within a software development team as an engineer
Comfortable writing and debugging code in Python. You understand the importance of readable code and are eager to learn best practices.
Familiarity with frameworks like FastAPI, Flask, or Django, with experience developing and exposing/consuming APIs.
Understanding of containerization and exposure to Docker.
Comfortable using Git for team collaboration (Gitlab pipelines exposure is a plus).
Machine Learning Fundamentals: Foundational knowledge of ML concepts and practical experience (academic or personal projects) deploying a simple model using libraries like scikit-learn, PyTorch, or TensorFlow.
Experience manipulating and analyzing data using libraries such as Pandas and NumPy.
A strong desire to learn MLOps principles, cloud infrastructure, and deployment practices (Kubernetes exposure is a plus).
BSc in Computer Science or a related technical field.

Job Responsibility

Implementing solutions for building and deploying AI models in production, with a focus on fault tolerance, scalability, maintainability and automation.
Leveraging modern LLM’s to include/enhance parsing capabilities for CVs/job adverts for existing supported languages and new additional languages.
Collaborating with the team to design, implement and optimise data processing pipelines and evaluation tools.

Fulltime

New

Branch Manager

Come and join us as a results driven Branch Manager to deliver sales and exceed ...

Location

United Kingdom , Lymington

Salary:

Not provided

City Plumbing

Expiration Date

Until further notice

Requirements

A great positive attitude
Enjoy customer interaction
Management Experience
Safe Practices
Forward Thinking
Tenacity and resilience
A pro-active approach to sales, with a strong desire and ability to win and grow new business
Experience of customer relationship management and developing a true partnership approach
Excellent communication skills
Self confident and self motivated, with the ability to work on own initiative or as part of a wider team

Job Responsibility

Effective management of the team and resource
Setting the standard of a sales orientated culture
Delivering against sales and customer demands while maximising profitability
Maximising margin and net profit
Keeping everyone safe
Build and maintain relationships with new and existing trade and retail customers
Ability to interpret and analyse financial and statistical information

What we offer

Bonus
Discounts, savings and cash back at numerous retailers
Life assurance
Extended family policy including maternity, paternity, additional annual leave and more
Mental Health First Aiders and Employee Assistance Programme, we look out for each other
Complete induction and a company that lets you grow and encourages development
Financial education and loans
Flexible working options
A business striving to create an environment of inclusion so everyone can be their true self

Fulltime

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Member of Technical Staff, Synthetic Data

Job Description

Job Responsibility

Requirements

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What we offer

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