Autodesk is hiring: Machine Learning Engineer in san francisco

At Autodesk, we build software tools that empower creative people worldwide.

We are looking for a Machine Learning Engineer to collaborate with researchers and engineers to build new ML-powered features.

Responsibilities

• Collaborate on projects at the intersection of research and product with a diverse, global team.
• Write clean, reusable, well‑documented code with proper version control practices.
• Explore and apply transfer learning strategies to improve model generalization in low‑resource settings.
• Preprocess large‑scale datasets and perform feature extraction and analysis to support model development.
• Design solutions based on error analysis and model performance evaluation.
• Present results to collaborators, stakeholders and leadership across research and engineering teams.
• Develop and maintain FastAPI‑based backend services to expose ML model inference to internal tools and Autodesk product teams.
• Monitor and improve model performance in production environments.

Minimum Qualifications

• BSc in Computer Science or related fields.
• At least one internship or equivalent project experience involving machine learning model training and deployment.
• Hands‑on experience developing and deploying deep learning models, including familiarity with model architectures, loss functions, optimization strategies, and regularization techniques.
• Proficiency with at least one deep learning framework such as PyTorch or TensorFlow.
• Experience building RESTful backend services or APIs (e.g., FastAPI, Flask).
• Familiarity with cloud services and architectures (e.g., AWS, Azure, GCP).
• Experience with version control (Git) and writing reproducible, testable code.
• Good written communication skills for documenting code, architectures, and experiments.

Preferred Qualifications

• Experience with distributed computing or data processing frameworks (e.g., Ray, Spark) for large‑scale dataset preparation.
• Familiarity with MLOps tooling such as AWS SageMaker, Docker, and Kubernetes for model training and deployment pipelines.
• Exposure to 2D or 3D geometry data representations, or experience in CAD/engineering software domains.
• Experience with generative AI models, including LLMs, diffusion models, or multimodal models.
• Familiarity with cross‑domain transfer learning or domain adaptation techniques.
• Knowledge of the design, manufacturing, or AEC industries.
• Contributions to open‑source ML projects or academic research experience.

Benefits and Compensation

Health and financial benefits, wellness resources, and time away are provided. U.S. base salary ranges from $96,000 to $172,425, with additional bonuses, stock grants, and benefits.

Equal Employment Opportunity

Autodesk is an equal opportunity employer and considers all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender, gender identity, national origin, disability, veteran status, or any other legally protected characteristic. We also consider all qualified applicants regarding criminal histories and consistent with applicable law.

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