ML Engineer

Join Pigment: The AI Platform Redefining Business PlanningPigment 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 environmentsConduct experiments and benchmarking to assess the performance of various models and architecturesContinuously 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 fieldMinimum of 5 years of experience in NLP and machine learningStrong 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 embeddingsHands-on experience working with large language models like GPT, LLAMA, BERT, or Transformer-based architecturesKnowledge about the recent developments of autonomous agents is a plusSolid understanding of GCP and related machine-learning offeringsExcellent problem-solving skills and ability to work independentlyStrong written and verbal communication skillsIf 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 packageStock options to ensure you have a stake in Pigment's growthThe best health insurance with Alan Blue entirely free for you and your familyWeekly Lunch and Lunch vouchers (Swile card) to cover your lunch breaks with total flexibilitySubscription to Egym Wellpass (ex-Gymlib) for full access to gyms, studios, and wellness spaces across FranceTrust and flexible working hoursAlong 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 LondonHigh-end equipment (based on stock/availability) to do your work in the best conditionsRemote-friendly environment Additional Information 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.

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