CrawlJobs Logo
F
Fundamental · IT - Software Development

ML Researcher

Spain, Barcelona · Job Posted May 27, 2026
Apply Position
Job Link Share

Job Description

Fundamental is an AI company pioneering the future of enterprise decision-making. Founded by DeepMind alumni, Fundamental has developed NEXUS – the world's most powerful Large Tabular Model (LTM) – purpose-built for the structured records that actually drive enterprise decisions. Backed by world class investors and trusted by Fortune 100 companies, Fundamental unlocks trillions of dollars of value by giving businesses the Power to Predict. At Fundamental, you'll work on unprecedented technical challenges in foundation model development and build technology that transforms how the world's largest companies make decisions.

Job Responsibility

  • Contribute to ideation, designing, implementing, and evaluating breakthrough Machine Learning models that will be deployed in the real world
  • Focus on the entire lifecycle of the models
  • Responsible for models’ performance including achieving high evaluation scores through novel architectures and training methods, establishing evaluation protocols, implementing methods for efficient training and inference
  • Ensure that research code allows swift, rapid development and testing of new ideas

Requirements

  • Strong familiarity with the full research cycle in Machine Learning
  • Strong fundamentals of software engineering
  • Strong knowledge of Python, and its ML frameworks
  • Experience with: Full lifecycle of AI model development
  • ML infrastructure frameworks and tools
  • Developing new ML methods, algorithms and models
  • GPUs (or TPUs) and distributed training
  • Scaling up models and training regimes
  • Knowledge of: Classical ML methods and algorithms
  • Deep Learning techniques

Nice to have

  • Expertise within one of the following areas is a strong bonus: Architecture Research, Distillation (Model Compression), Evaluation, Code Generation, LLMs
  • Experience with foundational models, e.g. LLMs
  • Published research at AI conferences
  • Contributions to open source ML projects
  • Experience working with tabular data / predictive analytics
  • High Kaggle rank
  • BSc/MSc/PhD in computer science/machine learning

What we offer

  • Competitive compensation with salary and equity
  • Comprehensive health coverage for you and your dependents
  • Paid parental leave for all new parents, inclusive of adoptive and surrogate journeys
  • Relocation support for employees moving to join the team in one of our office locations
  • A mission-driven, low-ego culture that values diversity of thought, ownership, and bias toward action
Fundamental - All Job Offers

Looking for more opportunities?

Search for other job offers that match your skills and interests.

Suggested Tags: Frontend Developer Secretary Talent Manager Salesforce Administrator Data Analyst
Similar Jobs for

ML Researcher

8 matching positions

PhD Student Researcher (Multimodal ML)

Interhuman AI is building the next generation of social intelligence infrastruct...
Location
Location
Denmark , København
Salary
Salary:
8000.00 - 10000.00 DKK / Year
life-science-talent-solutions.dk Logo
Life Science Talent
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Currently enrolled in a PhD program in Computer Science, Machine Learning, Data Science, or a related quantitative field (e.g., Physics, Mathematics, Statistics)
  • Strong proficiency in Python and experience with modern ML frameworks (PyTorch, JAX, or TensorFlow)
  • Deep familiarity with the current LLM/Multimodal research landscape (e.g., CLIP, Audio-LMs, Video-Language models)
  • Comfortable figuring things out independently and don't need constant direction
  • Can explain technical concepts clearly in writing and speech
  • Good at prioritizing and balancing multiple tasks, and flexible when changes occur
Job Responsibility
Job Responsibility
  • Own a scoped project that upgrades how we collect, validate, or evaluate complex behavioral-signal data, directly impacting model performance
  • Create high-signal benchmarks to track improvements on the most challenging 'long-tail' machine learning cases in social interaction
  • Improve consistency and auditability across our pipeline so that our research results are trustworthy, repeatable, and scalable
  • Contribute to the internal ecosystem of scripts and utilities that accelerate our experiment cycles, result comparison, and artifact organization
What we offer
What we offer
  • Highly flexible 15-hour work week designed to complement your academic schedule
  • Join a high-intensity, venture-backed startup environment
  • Paid role with direct influence on the technical direction of a pioneering social intelligence platform
  • Parttime
Read More
Arrow Right

Senior Speech & Audio Biomarkers ML Engineer / Data Scientist / LLM Researcher

Adalyon is transforming clinical trials with a behavioural-intelligence platform...
Location
Location
Finland
Salary
Salary:
Not provided
life-science-talent-solutions.dk Logo
Life Science Talent
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Advanced degree PhD, postdoctoral experience, or equivalent research depth in speech technology, audio signal processing, acoustics, machine learning, data science, computational linguistics, or a related field
  • Audio and NLP experience – You have built systems that process raw audio and transcripts to derive actionable insights. Familiarity with prosodic and spectral features, and the ability to engineer features like jitter, shimmer and harmonic-to-noise ratio, which have been shown to correlate with cognitive and emotional conditions
  • Speech processing toolkits: Experience with speech processing toolkits (e.g., librosa, Kaldi, Praat) and ML frameworks (PyTorch, TensorFlow, scikit-learn) is essential
  • LLM expertise – Hands-on experience with large language models, including prompting, fine-tuning and integrating them into downstream ML pipelines. Ability to interpret and control LLM outputs to ensure transparency and reproducibility, avoiding the unpredictable behaviour of generic LLMs
  • Startup mindset – Comfortable working in an agile, evolving environment. You take initiative, think creatively and can operate with limited structure. You thrive when delivering an MVP while planning for scalable solutions
  • Practical programming ability, ideally in Python and relevant scientific/data tooling. You do not need to be a software engineer, but you must be able to build the systems and pipelines needed for your research.
Job Responsibility
Job Responsibility
  • Conversational design & data pipeline
  • Signal processing & feature extraction
  • Model development & integration
  • Validation & evidence generation
  • Research & innovation
What we offer
What we offer
  • A competitive salary package that reflects your experience and the value you create
  • The opportunity to work with advanced AI, acoustic analysis, and speech-based biomarker technology at an early stage
  • A central and highly influential role with direct access to research and technology leadership
  • High autonomy, high visibility, and the opportunity to shape the scientific foundation of a growing company
  • A dynamic and flexible startup environment with room for deep technical discussion, scientific exploration, and practical impact
  • Fulltime
Read More
Arrow Right

Machine Learning Engineer - Evisort

Join the Evisort AI team at Workday, which powers Document Intelligence AI and W...
Location
Location
Canada , Vancouver
Salary
Salary:
128000.00 - 192000.00 CAD / Year
Workday
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 5+ years experience as a member of a data science, machine learning engineering, or other relevant software development team building applied machine learning products at scale, including taking products through applied research, design, implementation, production, and production-based evaluation
  • 2+ years of professional experience in machine learning and deep learning frameworks & toolkits such as Pytorch, TensorFlow
  • 2+ years of professional experience in building services to host machine learning models in production at scale
  • 2+ years of demonstrated experience working with large language models (LLMs), text generation models, and/or graph neural network models for real-world use cases
  • 2+ years of proven experience with cloud computing platforms (e.g. AWS, GCP, etc.)
  • Bachelor’s (Master’s or PhD preferred) degree in engineering, computer science, physics, math or equivalent
Job Responsibility
Job Responsibility
  • Develop tailored user experiences using advanced LLMs, Knowledge Graphs, personalization, and predictive analysis
  • Collaborate with other engineers to deliver ML solutions across Workday’s product ecosystem
  • Utilize software and data engineering stacks to enable training, deployment, and lifecycle management of various ML models
  • Develop and deploy new products at scale
  • Leverage Workday’s vast computing resources on rich datasets to deliver transformative value to our customers
  • Fulltime
Read More
Arrow Right

Staff AI Engineer

Rapid7 is seeking a Staff AI Engineer to join our Data Science team as we expand...
Location
Location
India , Pune
Salary
Salary:
Not provided
rapid7.com Logo
Rapid7
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 8–12 years of experience as a Data Scientist, ML Engineer, or AI Engineer
  • Strong end-to-end practical expertise in ML/AI/DS
  • Able to explore, experiment, and deliver independently
  • Proficiency in scikit-learn, PyTorch, TensorFlow, Keras, HuggingFace, LangChain, Transformers, Pandas, NumPy
  • Strong communication skills
  • Collaboration across engineering, data science, product, and security teams
  • Experience mentoring and guiding junior data scientists
  • Agentic AI and LLM expertise
  • Hands-on experience with agentic AI architectures (CrewAI, LangGraph, LangChain agents, tool-calling, function-chaining)
  • Experience building multi-step reasoning workflows, autonomous agents, or LLM-powered decision systems
Job Responsibility
Job Responsibility
  • Work with security teams to define, scope, and design research efforts for new threat detections, automations, and AI-driven workflows
  • Collaborate with data scientists to transform research into production-ready solutions, mentoring on both methods and execution
  • Research, build, and evaluate ML and generative/LLM models, including agentic and multi-step reasoning systems
  • Design and optimise agentic architectures, including tool-calling, decision-making, memory, orchestration, and evaluation frameworks
  • Partner with engineering teams to ship AI features, integrating models into high-scale systems
  • Deploy AI/ML workloads in AWS using SageMaker, Bedrock, Lambda, EKS, Step Functions, and related services
  • Contribute to our LLMOps and MLOps workflows, improving evaluation pipelines, observability, reproducibility, and governance
  • Support development of AI security features, improving reasoning, context understanding, automation, and analyst workflows
  • Embrace agile development, iterative experimentation, and collaborative problem solving
  • Mentor junior team members and uplift the technical bar for agentic AI and ML engineering
  • Fulltime
Read More
Arrow Right

Senior/Principal Machine Learning Engineer

As a Senior/Principal Machine Learning Engineer in Agent Factory, you’ll design ...
Location
Location
United States , Pleasanton; Seattle
Salary
Salary:
228000.00 - 342000.00 USD / Year
Workday
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 10+ years experience as a member of a data science, machine learning engineering, or other relevant software development team building applied machine learning products at scale, including taking products through applied research, design, implementation, production, and production-based evaluation
  • 4+ years of professional experience in machine learning and deep learning frameworks & toolkits such as Pytorch, TensorFlow
  • 6+ years of professional experience in building services to host machine learning models in production at scale
  • 3+ years of demonstrated experience working with large language models (LLMs), text generation models, and/or graph neural network models for real-world use cases
  • 6+ years of proven experience with cloud computing platforms (e.g. AWS, GCP, etc.)
  • Proven track record of successfully leading, mentoring, and/or managing ML Engineering teams, taking ownership of development lifecycle and sprint planning
  • fostering a culture of collaboration, transparency, innovation, and continuous improvement
  • Bachelor’s (Master’s or PhD preferred) degree in engineering, computer science, physics, math or equivalent
Job Responsibility
Job Responsibility
  • Design and build the core ML systems behind Workday’s next generation of AI agents
  • Own how models, agent logic, and orchestration layers come together in production—across the full lifecycle from problem framing and data strategy to deployment, monitoring, and continuous improvement
  • Implement and evolve frameworks for LLM-powered agents, including RAG pipelines, workflow orchestration, evaluation, and feedback loops, ensuring solutions are scalable, observable, and enterprise-ready
  • Partner closely with software engineers, product managers, and data scientists to integrate agents deeply into the Workday stack
  • Stay hands-on with emerging techniques in agentic architectures while applying strong engineering judgment to turn them into systems that are reliable, explainable, and built to operate at global scale
What we offer
What we offer
  • Workday Bonus Plan or role-specific commission/bonus
  • annual refresh stock grants
  • Fulltime
Read More
Arrow Right

Senior Machine Learning Engineer

We’re hiring a Senior Machine Learning Engineer to help build the core AI system...
Location
Location
United States , San Francisco
Salary
Salary:
230000.00 - 300000.00 USD / Year
signifytechnology.com Logo
Signify Technology
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Strong experience building production AI systems around LLMs, OCR, and unstructured data workflows
  • Proven track record shipping applied AI products, not just prototyping models offline
  • Deep familiarity with modern LLM workflows including prompting, structured outputs, tool use, retries, fallbacks, guardrails, and model evaluation
  • Experience with document intelligence systems such as OCR pipelines, document extraction, classification, post-processing, and confidence-based review flows
  • Experience with voice or conversational AI, or adjacent systems involving transcripts, call automation, and conversational extraction
  • Strong proficiency in Python and comfort working in production codebases with APIs, queues, and backend services
  • Experience deploying and operating AI systems in AWS or similar cloud environments, including serverless or event-driven architectures
  • Strong instincts around evaluation, benchmarking, monitoring, and quality assurance for real-world AI systems
  • Ability to work across structured and unstructured data and design systems that are robust to noisy, incomplete, and ambiguous inputs
Job Responsibility
Job Responsibility
  • Build the core AI systems behind a next-generation healthcare platform that turns smartphone video into clinically accurate 3D models of human anatomy
  • Own the pipeline that bridges raw computer vision data and physical 3D-printed medical solutions, transforming noisy real-world scans into precise, CAD-compatible models used to improve patient outcomes
  • Work closely with engineers, researchers, and product leaders to design systems that translate cutting-edge ML research into reliable production technology used in healthcare
What we offer
What we offer
  • Equity
  • Fulltime
Read More
Arrow Right

Machine Learning Researcher

SRG are working with an early-stage start-up developing a new technology platfor...
Location
Location
United Kingdom , Oxford
Salary
Salary:
Not provided
srgtalent.com Logo
SRG
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Degree (or higher) in Machine Learning, Computer Science or relevant subject.
  • Strong Python software engineering skills.
  • Experience in Machine learning & mathematical models
  • Previous exposure to biology, biochemistry or drug discovery would be advantageous.
Job Responsibility
Job Responsibility
  • Design and develop machine learning and mathematical models for analysing experimental data
  • Implement proof-of-concept software in Python
  • Build and manage data pipelines from laboratory instruments through to analysis
  • Run, evaluate and iterate algorithms against defined technical metrics
  • Engage with broader scientific and technical challenges as they arise
  • Fulltime
Read More
Arrow Right

Research Scientist – World Models, Robotics & Embodied AI

Meta Reality Labs Research (RL Research) brings together a team of researchers a...
Location
Location
United Kingdom , London
Salary
Salary:
Not provided
meta.com Logo
Meta
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Currently has or is in the process of obtaining a PhD in the field of Computer Vision, Robotics, AI, Computer Science, a related field, or equivalent practical experience. Degree must be completed prior to joining Meta
  • Research experience involving 3D Computer Vision, Deep Learning, or Robotics—specifically related to multimodal or 3D generative modeling, predictive world models, scene understanding, or learning-based robotic control
  • Experience with real-world system building and data collection, including design, coding, and evaluation with modern ML methods
  • Experience communicating research for public audiences of peers
  • Experience with deep learning frameworks (e.g., Pytorch, Tensorflow) and Python
  • Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment
Job Responsibility
Job Responsibility
  • Drive fundamental and applied research at the intersection of multi-modal generative AI, predictive world modeling, embodied reasoning, and robotic manipulation
  • Investigate or invent architectures that deliver a spectrum of embodied behaviors from simulated environments to real robots, and from tactile-driven motor control to high-level, long-horizon intelligence
  • Design research methodologies and lead empirical evaluations, authoring well-tested code for physical hardware and simulators
  • Build prototype systems that drive multi-step, long-horizon robotic perception, reasoning, and action
  • Contribute to and lead high-impact publications and open-sourcing efforts
  • Identify long-term research goals while executing intermediate milestones
  • Collaborate with a wide-ranging set of scientists and engineers across teams
  • Fulltime
Read More
Arrow Right