Senior Machine Learning Engineer
Senior Machine Learning Engineer

Senior Machine Learning Engineer

Newbury Full-Time 48000 - 72000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Join a team revolutionising CAD and CAM with AI-powered solutions.
  • Company: Autodesk creates innovative software for design and manufacturing, impacting industries globally.
  • Benefits: Enjoy a collaborative culture, competitive salary, bonuses, and comprehensive benefits.
  • Why this job: Make a real impact in the future of design while working in a dynamic environment.
  • Qualifications: Proven expertise in AI/ML, programming skills in Python and JavaScript, and cloud computing experience.
  • Other info: Mentorship opportunities and a chance to publish research at top-tier conferences.

The predicted salary is between 48000 - 72000 £ per year.

As we embark on a multi-year mission to revolutionize the Computer Aided Design (CAD) and Manufacturing (CAM) industry with Autodesk Fusion, we are excited to offer a pivotal role in our Product Development and Manufacturing Solutions division. The team you will join is spearheading the development of Fusion’s cloud-based automation and AI-powered capabilities.

As a Senior Machine Learning Engineer, you will leverage your engineering skillset and research expertise to tackle complex problems in building comprehensive AI/ML solutions. Your involvement will span from data preparation at a massive scale to model training and evaluation, culminating in the release of ML-based automation capabilities as reliable, scalable, and secure cloud-based services. These services will be utilized by millions of Autodesk Fusion users on a daily basis and made available on Autodesk Platform Services, Autodesk’s global developer ecosystem.

Your extensive knowledge of AI/ML technology design, development, and deployment, coupled with solid cloud computing experience, will be crucial for successfully implementing cloud-based AI-powered solutions. You will guide the team in determining methods, technologies, and best practices, informed by the latest AI/ML research and industry developments. Additionally, you will have a solid understanding of non-functional requirements and governance models for cloud-based AI systems, such as SOC2 and ISO 42001. Your ability to efficiently handle the demands of a dynamic, fast-paced research and development environment will be key to your success.

In return, you will be part of a team committed to innovation, fast iteration times, minimal bureaucracy, and a collaborative work environment. This is your opportunity to not just witness but actively participate in the transformation of the CAD & CAM industry, making a lasting impact on the future of design and manufacturing.

Responsibilities
  • Cloud-Based Data Preparation: Design and develop a cloud-based data preparation pipeline for ML model development in the Design and Manufacture space.
  • Optimization: Optimize this pipeline for throughput, latency, and cost using published or novel and creative approaches.
  • Model Development: Develop ML models, building on the latest published research.
  • Model Improvement: Improve and customize existing models using methodologies like RAG, fine-tuning, and transfer-learning.
  • Integration: Integrate existing ML models into novel applications.
  • Application Development: Develop and deploy applications that integrate AI/ML technology or models.
  • Problem Solving: Apply ML methods to address challenges in the CAD/CAM space.
  • Literature Review: Review relevant AI/ML literature and industry developments to identify emerging methods, technologies, and best practices.
  • Collaboration: Work collaboratively with cross-functional teams to integrate research findings into product development.
  • Mentorship: Mentor and guide junior researchers and engineers, fostering a culture of continuous learning and improvement.
  • Publication: Publish research findings in top-tier conferences and journals; represent Autodesk at industry and research events.
Requirements
  • Research Expertise: Proven research track record in AI/ML, high-performance computing, big data, applied mathematics, or statistics.
  • Real-World Experience: Demonstrated history of developing AI/ML powered solutions that solve a real-world problem and have users of any form.
  • Programming Skills: Proficiency in Python and JavaScript (required), C++ (optional).
  • Analytical Skills: Solid understanding of ML approaches to determine suitable technologies or methodologies for specific problems.
  • Code Quality: Natural aptitude for good code and software architecture.
  • Work Ethic: Hands-on mentality.
Preferred Requirements
  • Cloud Computing: Strong experience with AWS services, particularly ECS, EC2, Lambda, and AWS Identity and Access Management (IAM).
  • Governance Understanding: Understanding of governance for cloud-based and AI solutions (e.g., SOC2, ISO 42001, EU AI Act).
  • ML Frameworks: Experience with ML frameworks for data preparation and training at a large scale.

Welcome to Autodesk! Amazing things are created every day with our software – from the greenest buildings and cleanest cars to the smartest factories and biggest hit movies. We help innovators turn their ideas into reality, transforming not only how things are made, but what can be made.

We take great pride in our culture here at Autodesk – our Culture Code is at the core of everything we do. Our values and ways of working help our people thrive and realize their potential, which leads to even better outcomes for our customers.

When you’re an Autodesker, you can be your whole, authentic self and do meaningful work that helps build a better future for all. Ready to shape the world and your future? Join us!

Salary is one part of Autodesk’s competitive compensation package. Offers are based on the candidate’s experience and geographic location. In addition to base salaries, we also have a significant emphasis on discretionary annual cash bonuses, commissions for sales roles, stock or long-term incentive cash grants, and a comprehensive benefits package.

We take pride in cultivating a culture of belonging and an equitable workplace where everyone can thrive.

Senior Machine Learning Engineer employer: Autodesk

At Autodesk, we pride ourselves on fostering a vibrant work culture that champions innovation and collaboration, making it an exceptional place for a Senior Machine Learning Engineer. Located in Newbury, our team is dedicated to pushing the boundaries of AI and cloud technology, offering ample opportunities for professional growth and mentorship in a supportive environment. With a strong emphasis on diversity and belonging, employees can thrive while contributing to meaningful projects that shape the future of design and manufacturing.
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Contact Detail:

Autodesk Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Senior Machine Learning Engineer

✨Tip Number 1

Familiarise yourself with Autodesk's products, especially Fusion and its cloud-based capabilities. Understanding the specific challenges and innovations in CAD and CAM will help you articulate how your skills can contribute to their mission.

✨Tip Number 2

Network with current or former Autodesk employees on platforms like LinkedIn. Engaging in conversations about their experiences can provide valuable insights into the company culture and expectations for the Senior Machine Learning Engineer role.

✨Tip Number 3

Stay updated on the latest trends in AI/ML and cloud computing, particularly those relevant to CAD/CAM. Being able to discuss recent advancements or case studies during interviews can demonstrate your passion and expertise in the field.

✨Tip Number 4

Prepare to showcase your problem-solving skills through practical examples. Think of specific projects where you've successfully implemented AI/ML solutions, as this will highlight your real-world experience and ability to tackle complex challenges.

We think you need these skills to ace Senior Machine Learning Engineer

Machine Learning Expertise
Cloud Computing (AWS)
Data Preparation and Pipeline Development
Model Development and Improvement
Programming Proficiency in Python and JavaScript
Analytical Skills
Understanding of AI/ML Frameworks
Problem-Solving Skills
Collaboration and Teamwork
Mentorship and Leadership
Research and Literature Review
Code Quality and Software Architecture
Governance Knowledge (SOC2, ISO 42001)
Hands-on Work Ethic

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights your experience in AI/ML, cloud computing, and any relevant programming skills. Use keywords from the job description to demonstrate that you meet the specific requirements for the Senior Machine Learning Engineer role.

Craft a Compelling Cover Letter: In your cover letter, express your passion for revolutionising the CAD/CAM industry with AI/ML solutions. Mention specific projects or experiences that align with Autodesk's mission and how you can contribute to their goals.

Showcase Your Research Experience: Since research expertise is crucial for this role, include details about your past research projects, publications, and any innovative solutions you've developed. Highlight how these experiences have prepared you for the challenges at Autodesk.

Demonstrate Problem-Solving Skills: Provide examples of how you've applied ML methods to solve real-world problems. This could be through case studies or specific achievements in previous roles, showcasing your analytical skills and hands-on mentality.

How to prepare for a job interview at Autodesk

✨Showcase Your Research Expertise

Be prepared to discuss your previous research projects in AI/ML. Highlight specific challenges you faced, the methodologies you employed, and the outcomes of your work. This will demonstrate your depth of knowledge and practical experience.

✨Demonstrate Cloud Computing Skills

Since the role involves cloud-based solutions, be ready to talk about your experience with AWS services like ECS, EC2, and Lambda. Share examples of how you've optimised cloud resources for ML applications, as this will resonate well with the interviewers.

✨Prepare for Technical Questions

Expect technical questions related to machine learning algorithms, data preparation techniques, and model optimisation strategies. Brush up on the latest trends and best practices in AI/ML to show that you're up-to-date with industry developments.

✨Emphasise Collaboration and Mentorship

The role requires working with cross-functional teams and mentoring junior engineers. Be ready to share experiences where you've successfully collaborated on projects or guided others, showcasing your leadership and teamwork skills.

Senior Machine Learning Engineer
Autodesk
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  • Senior Machine Learning Engineer

    Newbury
    Full-Time
    48000 - 72000 £ / year (est.)

    Application deadline: 2027-06-20

  • A

    Autodesk

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