ML Engineer

Dormont Manufacturing Co; France; Sur place; EUR 55 000 - 85 000; Plein temps

Avantages offerts par ce poste

Competitive package

Stock options

Free health insurance

Lunch vouchers

Gym subscription

Trust and flexible working hours

High-end equipment

Remote-friendly environment

Résumé du poste

Pigment, based in France, is looking for an experienced ML Engineer to contribute to cutting-edge NLP projects. In this role, you'll be instrumental in the development and enhancement of advanced LLMs.

Ideal candidates have a solid background in computer science, at least 5 years of experience in machine learning, and expertise in deploying models in production. The role offers a competitive salary, stock options, and flexible working conditions.

Qualifications

• Minimum of 5 years of experience in NLP and machine learning.
• Strong understanding of NLP techniques and tokenization.
• Hands-on experience with large language models is required.

Responsabilités

• Research and improve LLM models for advanced use cases.
• Implement and deploy models in production environments.
• Conduct benchmarking to assess model performance.

Connaissances

NLP and machine learning

Programming in SQL and Python

Experience with ML libraries (e.g., TensorFlow, PyTorch)

Understanding of large language models (GPT, BERT)

Problem-solving skills

Formation

MS or Ph.D. in Computer Science, Mathematics, or related field

Outils

TensorFlow

PyTorch

scikit-learn

GCP

Description du poste

Join Pigment: The AI Platform Redefining Business Planning

Pigment is the AI-powered business planning and performance management platform built for agility and scale. We connect people, data, and processes in one intuitive, feature-rich solution, empowering every team—from Finance to HR—to build, adapt, and align strategic plans in real time.

Founded in 2019, Pigment is one of the fastest-growing SaaS companies globally. Industry leaders like Unilever, Snowflake, Siemens, and DPD use Pigment daily to make more informed decisions and confidently navigate any scenario.

With a team of 500+ across Paris, London, New York, San Francisco, and Toronto, we’ve raised nearly $400M from top-tier investors and were named a Visionary in the 2024 Gartner® Magic Quadrant™ for Financial Planning Software.

At Pigment, we take smart risks, celebrate bold ideas, and challenge the status quo—all while working as one team. If you’re driven by innovation and ready to make an impact at scale, we’d love to hear from you.

Pigment is seeking an experienced ML Engineer with a strong CS background and experience with Large Language Models (LLM) to join our innovative and fast‑paced team.

In this role, you will work on cutting‑edge NLP projects and play a crucial part in developing and refining our product. If you are passionate about machine learning, have a strong background in natural language processing, and thrive in a collaborative and high‑impact environment, we’d love to hear from you!

What you will do

• Research, fine‑tune, and improve prompting of LLM models for Pigment’s advanced use cases (Information Extraction, Information Retrieval, Text Generation tasks, etc.)
• Implement and deploy models in production environments
• Conduct experiments and benchmarking to assess the performance of various models and architectures
• Continuously research and stay up‑to‑date with recent advancements in NLP and large language models, applying novel techniques and methodologies to improve our models.

Requirements

• MS or Ph.D. in Computer Science, Mathematics, or a related field
• Minimum of 5 years of experience in NLP and machine learning
• Strong programming skills in SQL, Python, and relevant ML libraries and frameworks (e.g., TensorFlow, PyTorch, scikit‑learn)
• Strong understanding of NLP techniques, including text representation, feature engineering, model selection, tokenization, and embeddings
• Hands‑on experience working with large language models like GPT, LLAMA, BERT, or Transformer‑based architectures
• Knowledge about the recent developments of autonomous agents is a plus
• Solid understanding of GCP and related machine‑learning offerings
• Excellent problem‑solving skills and ability to work independently
• Strong written and verbal communication skills
• If you are passionate about NLP and Generative AI and want to work on a cutting‑edge business planning platform, we encourage you to apply for this exciting opportunity at Pigment.

What you will get

• Competitive package
• Stock options to ensure you have a stake in Pigment’s growth
• The best health insurance with Alan Blue entirely free for you and your family
• Weekly Lunch and Lunch vouchers (Swile card) to cover your lunch breaks with total flexibility
• Subscription to Egym Wellpass (ex‑Gymlib) for full access to gyms, studios, and wellness spaces across France
• Trust and flexible working hours
• Along with one company offsite every year, we have brand new offices at the heart of major cities including New York, San Francisco, Toronto, Paris, and London
• High‑end equipment (based on stock/availability) to do your work in the best conditions
• Remote‑friendly environment

We conduct background checks as part of our hiring process, in accordance with applicable laws and regulations in the countries where we operate. This may include verification of employment history, education, and, where legally permitted, criminal records. Any checks will be conducted lawfully prior to formal employment contracts being signed, with candidate consent, and information will be treated confidentially.

Pigment is an equal opportunity employer. We believe diversity is a strength and fosters innovation. We are committed to enabling everyone to feel included and valued at the workplace. All qualified applicants will receive consideration for employment without regard to age, color, family, gender identity, marital status, national origin, physical or mental disability, sex (including pregnancy), sexual orientation, social origin, or any other characteristic protected by applicable laws. We may process your personal data in accordance with our HR Data Protection Notice.