Senior Machine Learning Engineer jobs in United States
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Autodesk · 6 hours ago

Senior Machine Learning Engineer

Autodesk is a company that transforms how things are made through innovative software solutions. They are seeking a Senior Machine Learning Engineer to design, develop, and evolve machine learning systems that enhance customer platforms, focusing on conversational AI and intelligent automation.

3D TechnologyArchitectureConstructionManufacturingSoftware Engineering
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Comp. & Benefits
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H1B Sponsor Likelynote

Responsibilities

Design and implement machine learning capabilities that improve Autodesk’s customer-facing platforms, including conversational question answering, search and retrieval, agent-based workflows, and intelligent automation
Train, adapt, and improve machine learning models, including classical ML models, deep learning models, and LLM-based systems, for real-world production use cases
Perform statistical analysis and data exploration to generate datasets for model training, experimentation, and evaluation
Translate business objectives and product requirements into problems that can be addressed using data, statistics, and machine learning
Collaborate with other members of the team to reach better solutions, and to position our team at the cutting edge of technology and ML practice
Work closely with engineers, MLOps, and product partners to deploy, monitor, and iterate on ML systems running at scale
Provide technical leadership and mentorship to less experienced team members, supporting their growth and contributing to a strong team culture
Contribute to improving evaluation practices, ML tooling, and the overall technical foundations of the team

Qualification

Machine LearningDeep LearningPythonNatural Language ProcessingMLOpsStatistical AnalysisData ExplorationModel EvaluationCross-functional CollaborationTechnical Leadership

Required

MS or PhD in Computer Science, Statistics, Engineering, Economics, or related field. We also welcome applicants from non-traditional ML backgrounds
3+ years of applicable work experience in ML
Demonstrated experience applying machine learning techniques, including both classical ML and deep learning approaches, to real-world problems
Proficiency with the Python machine learning stack, including tools such as Pandas, NumPy, and Scikit-learn
Experience with at least one deep learning framework, such as PyTorch
Knowledge of experimental design and analysis, including evaluating model performance and interpreting results
Experience or strong interest in NLP, information retrieval, conversational AI, or LLM-based systems
Ability to work effectively in cross-functional teams and collaborate with engineers, product partners, and other stakeholders
Experience contributing to or supporting machine learning systems in production environments

Preferred

Experience working with Large Language Models, particularly in the context of RAG, conversational systems, question answering, or agent-based applications
Exposure to fine-tuning or adapting LLMs or embedding models for domain-specific use cases
Experience with information retrieval, learning-to-rank, recommender systems, or other NLP-driven applications
Familiarity with search technologies such as OpenSearch, Elasticsearch, Lucene, or Solr
Experience with data pipelines, model serving, or MLOps practices, especially in cloud environments such as AWS
Advanced software engineering skills, including data structures, algorithms, and building maintainable production code

Benefits

Health and financial benefits
Time away
Everyday wellness
Annual cash bonuses
Commissions for sales roles
Stock grants
Comprehensive benefits package

Company

Autodesk

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Autodesk develops 3D design software for use in the architecture, engineering, construction, and media industries.

H1B Sponsorship

Autodesk has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (233)
2024 (243)
2023 (269)
2022 (359)
2021 (298)
2020 (260)

Funding

Current Stage
Public Company
Total Funding
$1.5B
Key Investors
CitibankOK Blockchain Capital
2025-07-01Acquired
2025-05-08Post Ipo Debt· $1.5B
2020-08-25Seed

Leadership Team

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Andrew Anagnost
President and Chief Executive Officer
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Janesh Moorjani
CFO
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Company data provided by crunchbase