CrawlJobs Logo

Staff Machine Learning Engineer - AI Platform

· Job Posted February 14, 2026
Apply Position
Job Link Share

Job Description

You will join our Data Department to support the development of Phantom Intelligence, the platform that powers our product's AI capabilities.

Job Responsibility

  • Define and evolve our infrastructure to allow for better ML and AI capabilities, with a focus on LLM-based and agentic systems
  • Contribute to the development and expansion of our agentic AI framework powered by AWS Bedrock, enabling both internal tools and customer-facing features
  • Identify, source, and refine datasets to allow tuning models, powering retrieval pipelines, or expanding agentic workflows
  • Pre-process data by using techniques such as data cleaning, feature engineering, and transformation
  • Train, evaluate, and deploy both LLM-based systems and traditional machine learning models into production
  • Monitor, debug, and continuously improve deployed models and AI tools
  • Support machine learning usage throughout the company, including selecting the right modeling approach for the use case (LLM vs. traditional ML)
  • Support the integration and use of LLMs, including approaches such as fine-tuning, prompt tuning, and retrieval-augmented generation (RAG), to improve accuracy

Requirements

  • 5+ years of experience as a Data Scientist or Machine Learning Engineer
  • Experience working with LLMs (e.g., prompt engineering, fine-tuning, retrieval-augmented generation)
  • Experience working with Agents for Amazon Bedrock AgentCore or similar agent setups
  • Strong understanding of machine learning algorithms, statistical methods, and data preprocessing techniques
  • Experience with cloud platforms for model training and deployment, especially AWS
  • Proficiency in Python, including experience with libraries such as LangChain, Scikit-Learn, NumPy, Pandas, and PyTorch/TensorFlow
  • Proficiency in SQL and experience working with data warehouses (e.g., Snowflake, GCP)
  • Knowledge of MLOps best practices, including CI/CD pipelines, model monitoring, and versioning (e.g., MLflow, Airflow)
  • Experience deploying models to production and supporting them post-deployment
  • Fluency in English

Nice to have

  • Experienced in a SaaS B2B business
  • Experienced within a product-led growth company
  • Contributions to open-source projects related to ML or AI

What we offer

  • Fully remote working environment
  • €40/month for remote work
  • Flexible working time
  • Home office budget up to €1500
  • 100% of an Alan Blue subscription (french-based contracts)
  • Lunch vouchers - €8 (50% The Phantom Company) / worked day (french-based contracts)
  • Partnership with MokaCare
  • €70 a month benefit for entertainment expenses
  • Book Allowance and Sharing Program

Looking for more opportunities?

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

Similar Jobs for

Staff Machine Learning Engineer - AI Platform

8 matching positions

Senior Staff Machine Learning Engineer – Moonshot AI

The Moonshot AI team sits within Uber AI Solutions where we are building an ente...
Location
Location
United States , Sunnyvale
Salary
Salary:
267000.00 - 297000.00 USD / Year
uber.com Logo
Uber
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 10+ years of industry experience developing and shipping production machine learning models
  • Ph.D., MS, or Bachelor's degree in Computer Science, Machine Learning, or a closely related discipline
  • Proven track record of technical leadership on large-scale ML initiatives with measurable business impact
  • Deep expertise across multiple areas: Computer Vision, Natural Language Processing, Deep Learning, and Generative AI
  • Strong proficiency with modern ML frameworks (PyTorch, TensorFlow, JAX) and programming languages
  • Extensive experience with distributed training infrastructure, large-scale model development, and ML platform design
  • Demonstrated ability to collaborate with product, engineering, and data science leadership on technical roadmaps and strategic priorities
  • Excellent problem-solving abilities with deep ML methodology expertise
Job Responsibility
Job Responsibility
  • Shape the technical vision and roadmap for Moonshot AI's ML initiatives
  • Architect foundational ML platforms and systems for marketplace optimization and annotation automation
  • Drive end-to-end ML solutions from conception through production deployment
  • Lead GenAI innovation: design and implement cutting-edge systems using custom SLMs, computer vision, and LLMs
  • Advance AI research capabilities: establish research direction, design benchmarks, contribute to research and publications
  • Build industry-leading evaluation frameworks: architect LLM-as-Judge systems and automated quality assessment platforms
  • Provide technical leadership across Uber AI Solutions
  • Mentor and develop engineering talent
  • Enable cross-functional impact
What we offer
What we offer
  • Bonus program
  • Equity award & other types of comp
  • 401(k) plan
  • Various benefits
  • Fulltime
Read More
Arrow Right

Staff Machine Learning Engineer - Generative AI

Xometry is seeking a Staff Machine Learning Engineer to lead our Generative AI e...
Location
Location
United States , Lexington
Salary
Salary:
Not provided
cherry.vc Logo
Cherry Ventures
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor’s degree required
  • advanced degree (M.S. or PhD) in Computer Science, Machine Learning, AI, or related field is a big plus
  • 5+ years of experience in machine learning or data science, with deep expertise in generative models, LLMs, or computer vision
  • Strong track record working with large-scale language and vision models (Transformers, GPT, VLMs)
  • Hands-on experience with multimodal data (text, images, 3D)
  • Proficiency in Python and key ML libraries (PyTorch, TensorFlow, pandas, NumPy)
  • Solid grounding in probability, statistics, and optimization for generative modeling
  • Experience deploying ML and AI models using cloud microservice architecture (AWS preferred)
  • Strong software engineering skills, including object oriented programming, testing, version control, CI/CD best practices and IaC (terraform preferred)
  • A proven ability to communicate effectively with all levels of the organization, from executives to product managers and various stakeholders
Job Responsibility
Job Responsibility
  • Lead with vision – Set the technical direction for our Generative AI team, establish best practices, and inspire high-impact innovation
  • Drive strategy – Help shape the AI roadmap, identifying the most valuable opportunities to apply generative AI across Xometry’s marketplace
  • Build cutting-edge models – Develop and deploy large language and generative models for multimodal document processing and structured data extraction
  • Innovate across modalities – Explore new ways to combine text, images, and 3D data to unlock smarter, faster solutions
  • Engineer at scale – Create data pipelines and training workflows that can handle massive, complex datasets
  • Deploy in the cloud – Use AWS and other platforms to train, optimize, and deploy models into production at scale
  • Collaborate widely – Work with engineers, product leaders, and business teams to bring AI solutions into real products and customer workflows
  • Mentor and grow – Guide teammates on advanced ML methods, model architecture, and best practices, elevating the entire team
  • Stay ahead – Keep up with the latest generative AI and deep learning research, and bring fresh ideas into production.
Read More
Arrow Right

Staff Machine Learning Engineer - Generative AI

Xometry is seeking a Staff Machine Learning Engineer to lead our Generative AI e...
Location
Location
United States , North Bethesda
Salary
Salary:
140000.00 - 230000.00 USD / Year
cherry.vc Logo
Cherry Ventures
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor’s degree required
  • advanced degree (M.S. or PhD) in Computer Science, Machine Learning, AI, or related field is a big plus
  • 5+ years of experience in machine learning or data science, with deep expertise in generative models, LLMs, or computer vision
  • Strong track record working with large-scale language and vision models (Transformers, GPT, VLMs)
  • Hands-on experience with multimodal data (text, images, 3D)
  • Proficiency in Python and key ML libraries (PyTorch, TensorFlow, pandas, NumPy)
  • Solid grounding in probability, statistics, and optimization for generative modeling
  • Experience deploying ML and AI models using cloud microservice architecture (AWS preferred)
  • Strong software engineering skills, including object oriented programming, testing, version control, CI/CD best practices and IaC (terraform preferred)
  • A proven ability to communicate effectively with all levels of the organization, from executives to product managers and various stakeholders
Job Responsibility
Job Responsibility
  • Lead with vision – Set the technical direction for our Generative AI team, establish best practices, and inspire high-impact innovation
  • Drive strategy – Help shape the AI roadmap, identifying the most valuable opportunities to apply generative AI across Xometry’s marketplace
  • Build cutting-edge models – Develop and deploy large language and generative models for multimodal document processing and structured data extraction
  • Innovate across modalities – Explore new ways to combine text, images, and 3D data to unlock smarter, faster solutions
  • Engineer at scale – Create data pipelines and training workflows that can handle massive, complex datasets
  • Deploy in the cloud – Use AWS and other platforms to train, optimize, and deploy models into production at scale
  • Collaborate widely – Work with engineers, product leaders, and business teams to bring AI solutions into real products and customer workflows
  • Mentor and grow – Guide teammates on advanced ML methods, model architecture, and best practices, elevating the entire team
  • Stay ahead – Keep up with the latest generative AI and deep learning research, and bring fresh ideas into production
What we offer
What we offer
  • 401(k) match
  • medical, dental and vision insurance
  • life and disability insurance
  • generous paid time off including vacation, sick leave, floating and fixed holidays, maternity and bonding leave
  • EAP, other wellbeing resources
  • Fulltime
Read More
Arrow Right

Staff Machine Learning Engineer - Generative AI

Xometry is seeking a Staff Machine Learning Engineer to lead our Generative AI e...
Location
Location
United States , Gaithersburg
Salary
Salary:
140000.00 - 230000.00 USD / Year
cherry.vc Logo
Cherry Ventures
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor’s degree required
  • advanced degree (M.S. or PhD) in Computer Science, Machine Learning, AI, or related field is a big plus
  • 5+ years of experience in machine learning or data science, with deep expertise in generative models, LLMs, or computer vision
  • Strong track record working with large-scale language and vision models (Transformers, GPT, VLMs)
  • Hands-on experience with multimodal data (text, images, 3D)
  • Proficiency in Python and key ML libraries (PyTorch, TensorFlow, pandas, NumPy)
  • Solid grounding in probability, statistics, and optimization for generative modeling
  • Experience deploying ML and AI models using cloud microservice architecture (AWS preferred)
  • Strong software engineering skills, including object oriented programming, testing, version control, CI/CD best practices and IaC (terraform preferred)
  • A proven ability to communicate effectively with all levels of the organization
Job Responsibility
Job Responsibility
  • Lead with vision – Set the technical direction for our Generative AI team, establish best practices, and inspire high-impact innovation
  • Drive strategy – Help shape the AI roadmap, identifying the most valuable opportunities to apply generative AI across Xometry’s marketplace
  • Build cutting-edge models – Develop and deploy large language and generative models for multimodal document processing and structured data extraction
  • Innovate across modalities – Explore new ways to combine text, images, and 3D data to unlock smarter, faster solutions
  • Engineer at scale – Create data pipelines and training workflows that can handle massive, complex datasets
  • Deploy in the cloud – Use AWS and other platforms to train, optimize, and deploy models into production at scale
  • Collaborate widely – Work with engineers, product leaders, and business teams to bring AI solutions into real products and customer workflows
  • Mentor and grow – Guide teammates on advanced ML methods, model architecture, and best practices, elevating the entire team
  • Stay ahead – Keep up with the latest generative AI and deep learning research, and bring fresh ideas into production
What we offer
What we offer
  • 401(k) match
  • medical, dental and vision insurance
  • life and disability insurance
  • generous paid time off including vacation, sick leave, floating and fixed holidays, maternity and bonding leave
  • EAP, other wellbeing resources
  • Fulltime
Read More
Arrow Right

Staff Machine Learning Engineer - Generative AI

Xometry is seeking a Staff Machine Learning Engineer to lead our Generative AI e...
Location
Location
United States , Waltham
Salary
Salary:
140000.00 - 230000.00 USD / Year
cherry.vc Logo
Cherry Ventures
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor’s degree required
  • advanced degree (M.S. or PhD) in Computer Science, Machine Learning, AI, or related field is a big plus
  • 5+ years of experience in machine learning or data science, with deep expertise in generative models, LLMs, or computer vision
  • Strong track record working with large-scale language and vision models (Transformers, GPT, VLMs)
  • Hands-on experience with multimodal data (text, images, 3D)
  • Proficiency in Python and key ML libraries (PyTorch, TensorFlow, pandas, NumPy)
  • Solid grounding in probability, statistics, and optimization for generative modeling
  • Experience deploying ML and AI models using cloud microservice architecture (AWS preferred)
  • Strong software engineering skills, including object oriented programming, testing, version control, CI/CD best practices and IaC (terraform preferred)
  • A proven ability to communicate effectively with all levels of the organization
Job Responsibility
Job Responsibility
  • Lead with vision – Set the technical direction for our Generative AI team, establish best practices, and inspire high-impact innovation
  • Drive strategy – Help shape the AI roadmap, identifying the most valuable opportunities to apply generative AI across Xometry’s marketplace
  • Build cutting-edge models – Develop and deploy large language and generative models for multimodal document processing and structured data extraction
  • Innovate across modalities – Explore new ways to combine text, images, and 3D data to unlock smarter, faster solutions
  • Engineer at scale – Create data pipelines and training workflows that can handle massive, complex datasets
  • Deploy in the cloud – Use AWS and other platforms to train, optimize, and deploy models into production at scale
  • Collaborate widely – Work with engineers, product leaders, and business teams to bring AI solutions into real products and customer workflows
  • Mentor and grow – Guide teammates on advanced ML methods, model architecture, and best practices, elevating the entire team
  • Stay ahead – Keep up with the latest generative AI and deep learning research, and bring fresh ideas into production
What we offer
What we offer
  • 401(k) match
  • medical, dental and vision insurance
  • life and disability insurance
  • generous paid time off including vacation, sick leave, floating and fixed holidays, maternity and bonding leave
  • EAP, other wellbeing resources
  • Fulltime
Read More
Arrow Right

Staff Full Stack Software Engineer, Machine Learning Platform

At Cloudera, we empower people to transform complex data into clear and actionab...
Location
Location
Hungary , Budapest
Salary
Salary:
Not provided
cloudera.com Logo
Cloudera
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bsc/Msc in related field or equivalent experience
  • 4+ years of experience with web applications using Node.js, or other modern web services technologies
  • Expertise in full stack development with client and server-side JavaScript/TypeScript (utilizing Node.js, yarn, npm, webpack, babel), SQL in microservices architecture
  • Experience with modern JavaScript frameworks such as React, Angular etc.
  • Experience with generative AI assisted software development
  • Hands-on experience with Docker containers, Kubernetes and Linux at the user level
  • Self-driven and motivated, with a strong sense of ownership and craftsmanship
  • Strong written and verbal communication skills
  • This role is not eligible for sponsorship
Job Responsibility
Job Responsibility
  • Help build the leading platform for AI and machine learning in the enterprise
  • Design, code, and implement clean and elegant user interfaces and workflows
  • Work to enhance developer velocity and team agility
  • Build strong relationships and collaborate with UX designers, other developers, quality engineers, as well as, Product Management, Field Engineering, and other external partners
What we offer
What we offer
  • Generous PTO Policy
  • Support work life balance with Unplugged Days
  • Flexible WFH Policy
  • Mental & Physical Wellness programs
  • Phone and Internet Reimbursement program
  • Access to Continued Career Development
  • Comprehensive Benefits and Competitive Packages
  • Paid Volunteer Time
  • Employee Resource Groups
  • Fulltime
Read More
Arrow Right

Staff Full Stack Software Engineer, Machine Learning Platform

At Cloudera, we empower people to transform complex data into clear and actionab...
Location
Location
Hungary , Budapest
Salary
Salary:
Not provided
cloudera.com Logo
Cloudera
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bsc/Msc in related field or equivalent experience
  • 4+ years of experience with web applications using Node.js, or other modern web services technologies
  • Expertise in full stack development with client and server-side JavaScript/TypeScript (utilizing Node.js, yarn, npm, webpack, babel), SQL in microservices architecture
  • Experience with modern JavaScript frameworks such as React, Angular etc.
  • Experience with generative AI assisted software development
  • Hands-on experience with Docker containers, Kubernetes and Linux at the user level
  • Self-driven and motivated, with a strong sense of ownership and craftsmanship
  • Strong written and verbal communication skills
  • This role is not eligible for sponsorship
Job Responsibility
Job Responsibility
  • Help build the leading platform for AI and machine learning in the enterprise
  • Design, code, and implement clean and elegant user interfaces and workflows
  • Work to enhance developer velocity and team agility
  • Build strong relationships and collaborate with UX designers, other developers, quality engineers, as well as, Product Management, Field Engineering, and other external partners
What we offer
What we offer
  • Generous PTO Policy
  • Support work life balance with Unplugged Days
  • Flexible WFH Policy
  • Mental & Physical Wellness programs
  • Phone and Internet Reimbursement program
  • Access to Continued Career Development
  • Comprehensive Benefits and Competitive Packages
  • Paid Volunteer Time
  • Employee Resource Groups
  • Fulltime
Read More
Arrow Right

Staff Full Stack Software Engineer, Machine Learning Platform

At Cloudera, our Data Services Pillar is the heart of data innovation. We don’t ...
Location
Location
Hungary , Budapest
Salary
Salary:
Not provided
cloudera.com Logo
Cloudera
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bsc/Msc in related field or equivalent experience
  • 4+ years of experience with web applications using Node.js, or other modern web services technologies
  • Expertise in full stack development with client and server-side JavaScript/TypeScript (utilizing Node.js, yarn, npm, webpack, babel), SQL in microservices architecture
  • Experience with modern JavaScript frameworks such as React, Angular etc.
  • Experience with generative AI assisted software development
  • Hands-on experience with Docker containers, Kubernetes and Linux at the user level
  • Self-driven and motivated, with a strong sense of ownership and craftsmanship
  • Strong written and verbal communication skills
  • This role is not eligible for sponsorship
Job Responsibility
Job Responsibility
  • Help build the leading platform for AI and machine learning in the enterprise
  • Design, code, and implement clean and elegant user interfaces and workflows
  • Work to enhance developer velocity and team agility
  • Build strong relationships and collaborate with UX designers, other developers, quality engineers, as well as, Product Management, Field Engineering, and other external partners
What we offer
What we offer
  • Generous PTO Policy
  • Support work life balance with Unplugged Days
  • Flexible WFH Policy
  • Mental & Physical Wellness programs
  • Phone and Internet Reimbursement program
  • Access to Continued Career Development
  • Comprehensive Benefits and Competitive Packages
  • Paid Volunteer Time
  • Employee Resource Groups
  • Fulltime
Read More
Arrow Right