AI/ML Developer

Dassault Systèmes; Long Beach (CA); Hybrid; USD 140,000 - 160,000; Full time

Benefits offered by this job

Bonus potential

Health benefits

401K match

Job summary

Dassault Systèmes is seeking an AI/ML Engineer to design and enhance generative AI applications, services, and software solutions. You will work across product management and engineering to deliver innovative AI capabilities, including RAG workflows, LLM-powered solutions, and production-grade code.

Ideal candidates bring 4+ years in ML/AI or software engineering, strong Python, and hands-on experience with LLMs and production deployments within an Agile environment.

Qualifications

• BS/MS in CS, AI, DS or related field.
• 4+ years in ML/AI or software engineering with 2+ years in Generative AI.
• Strong Python proficiency, experience with PyTorch, TensorFlow, Scikit-Learn.

Responsibilities

• Design, develop, and maintain Generative AI applications using LLM and ML tech.
• Collaborate with product management, architects, and engineering teams to deliver AI solutions.
• Develop, deploy and integrate ML models, and RAG workflows.

Skills

Python

PyTorch

TensorFlow

LLMs

RAG systems

CI/CD

Agile

Debugging

AI/ML development

Education

B.S./M.S. in CS/AI/DS

Tools

LangChain

LangGraph

Vector databases

Job description

DASSAULT SYSTEMES is seeking an AI / Machine Learning Engineer to join our R&D organization. This individual will contribute to the design, development, and continuous improvement of generative AI applications, services, and software solutions. The ideal candidate combines strong software engineering fundamentals with practical experience applying AI and machine learning technologies in production environments.

• Design, develop, and maintain Generative AI applications using LLM and machine learning technologies
• Collaborate with product management, architects, and engineering teams to deliver innovative AI solutions that address user and business needs
• Develop, deploy and integrate machine learning models, agentic AI workflows and Retrieval augmented generation systems
• Conduct prototypes and proof-of-concept initiatives to evaluate new technologies and approaches
• Develop high-quality, maintainable code while participating in code reviews and continuous improvement efforts
• Analyze application performance, user feedback, and usage metrics to identify opportunities for optimization and enhancement
• Troubleshoot technical issues, perform root cause analysis, and contribute to software quality and operational excellence

Qualifications

• B.S. or M.S. degree in Computer Science, Software Engineering, Artificial Intelligence, Data Science, Mathematics, or a related technical field
• 4+ years of experience in machine learning, artificial intelligence, or software engineering, with at least 2 years focused on Generative AI solutions
• Strong proficiency in python and experience with machine learning frameworks such as PyTorch, TensorFlow, and Scikit-Learn
• Hands-on experience developing applications powered by Large Language Models (LLMs)
• Experience implementing Retrieval-Augmented Generation (RAG) systems, semantic search, and vector databases
• Strong understanding of prompt engineering, prompt optimization, model evaluation, and AI agent design patterns
• Familiarity with AI orchestration frameworks such as LangChain, LangGraph, or equivalent platforms
• Knowledge of machine learning fundamentals, deep learning architectures, NLP techniques, embeddings, fine-tuning, and model optimization.
• Experience building and deploying production-quality software applications and services
• Strong analytical, problem-solving, and debugging skills
• Demonstrated ability to learn and apply new technologies quickly
• Familiarity with CI/CD pipelines, containerization, and modern software engineering practices
• Experience working in Agile software development environments

Inclusion statement

In order to provide equal employment and advancement opportunities to all individuals, employment decisions at 3DS are based on merit, qualifications and abilities. 3DS is committed to a policy of non-discrimination and equal opportunity for all employees and qualified applicants without regard to race, color, religion, gender, sex (including pregnancy, childbirth or medical or common conditions related to pregnancy or childbirth), sexual orientation, gender identity, gender expression, marital status, familial status, national origin, ancestry, age (40 and above), disability, veteran status, military service, application for military service, genetic information, receipt of free medical care, or any other characteristic protected under applicable law. 3DS will make reasonable accommodations for qualified individuals with known disabilities, in accordance with applicable law.Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable state laws and local ordinances. We are committed to fair employment practices and will evaluate all candidates based on their qualifications, regardless of past arrest or conviction history.

Dassault Systèmes offers an excellent salary with potential for bonus, commensurate with experience. Benefits include a choice of plans providing comprehensive coverage for medical, dental, vision care for employee & dependents as well as employee life, short & long term disability, tuition reimbursement, immediate 401K enrollment, 401K match (50 cents on the dollar, up to the first 8% of your eligible compensation that you contribute based on match eligibility criteria), flexible time off policy, and 10 paid holidays.

Salary Pay Transparency

Compensation for the role will be commensurate with experience. The total expected compensation range will be between $140000 and $160000, representing the base salary (or annualized salary based on estimated hourly compensation) and target bonus.

DELMIA helps industries and service providers connect the virtual and real worlds of global operations to re-imagine business for achieving sustainable excellence and delivering orchestration across value networks.

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