Lead AI Research Scientist

4 weeks ago

Toronto, Ontario, Canada Autodesk, Inc. Full time

The role of Lead AI Research Scientist is crucial in shaping the future of technology at Autodesk.

Lead AI Research Scientist

Position Overview

At Autodesk, our innovations impact countless individuals globally. By developing software solutions for various industries, we empower creative minds to tackle significant challenges. As a Lead AI Research Scientist within the Autodesk Research AI Lab, you will engage in both foundational and applied research aimed at enhancing our customers' ability to envision, design, and create a better world.

In this position, you will collaborate closely with esteemed researchers and engineers to develop new machine learning-driven product features. The AI Lab is well-integrated into the broader research community, maintaining strong partnerships with leading academic institutions, thus merging academic rigor with product-focused research. Our lab actively contributes to prestigious conferences such as CVPR, NeurIPS, ICML, ICLR, and SIGGRAPH.

You are an expert in machine learning at scale, possessing experience in training extensive machine learning models through distributed deep learning techniques. Your expertise encompasses the design of large-scale models, conducting experiments informed by scaling principles, and optimizing data and computational resources for efficient model training. You are driven by a passion for problem-solving and innovation, eager to work alongside fellow AI researchers to create cutting-edge generative AI features in Autodesk products. Your communication skills enable you to thrive at the intersection of research and product development.

This position offers flexibility in location, as we are a global team with members in various regions, including remote options. Autodesk promotes a hybrid work environment, allowing employees to choose between remote work, office presence, or a combination of both.

Responsibilities

  • Spearhead the design and scaling of machine learning models that bridge research and product development.
  • Utilize distributed deep learning frameworks to conduct scaling experiments with support from engineering and data teams.
  • Collaborate with engineering teams to identify and resolve challenges in distributed deep learning training, such as checkpointing and model compression.
  • Enhance data flow and overall architecture efficiency.
  • Employ frameworks like Open Neural Network Exchange (ONNX) and TensorRT to develop high-performance model endpoints.
  • Produce robust, testable, and well-documented code.
  • Analyze and troubleshoot errors, providing effective solutions.
  • Present findings and progress to team members and leadership.

Minimum Qualifications

  • Bachelor's or Master's degree in Computer Science or equivalent professional experience.
  • Demonstrated experience in large-scale distributed machine learning model training.
  • Familiarity with 3D Parallelism, including Tensor Parallelism, Sequence Parallelism, and Pipeline Parallelism.
  • Knowledge of frameworks for model sharding, such as DeepSpeed and FairScale.
  • Experience in large-scale distributed data processing.
  • Proficiency in software version control, unit testing, and deployment pipelines.
  • Experience with cloud services and architectures (AWS, Azure, etc.).
  • Strong written communication skills for documenting code, architectures, and experimental results.
  • Experience with high-performance computing hardware systems.

Preferred Qualifications

  • Understanding of design, manufacturing, architecture, engineering, construction, or media & entertainment sectors.
  • Familiarity with Autodesk products or similar software (CAD, CAE, CAM, etc.).
  • Strong skills in data modeling, architecture, and processing with diverse data representations, including 2D and 3D geometry.
  • Experience with C++/CUDA programming.

The Ideal Candidate

  • A proactive individual who seeks solutions and addresses challenges with minimal oversight.
  • A curious and innovative problem-solver eager to learn and develop new technologies.
  • A quick learner and effective communicator capable of collaborating across global teams.
  • Comfortable navigating ambiguous areas where adaptability and learning are essential.

At Autodesk, we are committed to fostering a diverse workplace and an inclusive culture, providing opportunities for all individuals to imagine, design, and create a better world. We are proud to be an equal opportunity employer, considering all qualified applicants without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other legally protected characteristic.

About Autodesk

Autodesk is at the forefront of innovation, enabling the creation of remarkable products that transform industries. Our culture is built on values that empower our employees to thrive and achieve their potential, leading to exceptional outcomes for our customers.

We take pride in our inclusive environment where everyone can contribute to meaningful work that shapes a better future.

Benefits

We offer a comprehensive benefits package that supports the health and well-being of our employees, allowing them to perform at their best.

Salary Transparency

Our competitive compensation package includes a starting base salary range for U.S.-based roles, with additional opportunities for bonuses and stock grants based on experience and location.

Equal Employment Opportunity

Autodesk is dedicated to building a diverse and inclusive workplace, ensuring equal opportunities for all applicants.

Diversity & Belonging

We are committed to cultivating a culture of belonging and equity, enabling everyone to thrive.

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