Senior Machine Learning Engineer, Autodesk
$194.8-234.9k
3D design, engineering & entertainment software
Be an early applicant
3D design, engineering & entertainment software
1001+ employees
Be an early applicant
$194.8-234.9k
1001+ employees
Company mission
To empower innovators with design and make technology so they can achieve the new possible.
Role
Who you are
- Master’s degree in Computer Science, Data Science, Data Analytics or related field and four (4) years of experience in the job offered or in a machine learning/data science-related occupation. Some telecommuting is permitted
- Position requires at least three (3) years of experience in each of the following skills:
- Utilize knowledge of relational database management systems, advanced SQL skills, and expertise in BigQuery to process datasets, generate insights, and power data-driven solutions for daily operations
- Utilize knowledge of Big Data and Apache Spark (PySpark) to process massive datasets, enabling efficient data transformation for downstream machine learning modeling and analysis
- Utilize knowledge of advanced data science techniques and tools, including Python, Apache Spark, SparkML, scikit-learn, TensorFlow, Keras, XGBoost, and Tidyverse, to build various ML-driven applications such as recommendation models, timeseries forecasting, attribution models that address business needs and deliver impactful solutions
- Utilize knowledge of AWS, Google Cloud Platform, and Databricks to train machine learning models, scale solutions for optimized architecture, and collaborate with MLOps teams to automate and streamline deployment processes
- Utilize experience in applied statistics, statistical modeling, and A/B experimentation such as experiment design, hypothesis testing to quantify the impact of ML-driven models and optimize data-driven decision-making
- Utilize experience with HCP data and analytics, CRM analytics, online media, and the adtech ecosystem to deliver actionable insights and optimize digital media strategies
- Utilize knowledge of data science acumen, frameworks, and applications to collaborate with the business in identifying and prioritizing data science-driven opportunities, translating data and model results into tactical and strategic insights
- Position requires at least one (1) year of experience in each of the following skills:
- Utilize knowledge of relational database management systems and SQL to design, manage, and optimize data storage solutions, ensuring efficient data processing and retrieval for business needs
- Utilize Apache Spark (PySpark) for large-scale data processing, enabling seamless preparation for downstream modeling and analysis
- Utilize Python, machine learning, supervised and unsupervised algorithms, and statistical modeling with SparkML, scikit-learn, TensorFlow, Keras, XGBoost, and Tidyverse to build large-scale machine learning models for clustering, segmentation, cancer detection, etc
- Utilize AWS SageMaker and Google Cloud Platform for scalable batch inferencing and modeling to drive efficient, large-scale AI solutions
- Utilize HCP data analytics and predictive modeling to enhance targeted marketing strategies and optimize healthcare outcomes
What the job involves
- Conduct research into fundamental computer and information science as theorists, designers, or inventors
- Develop solutions to problems in the field of computer hardware and software
- Oversee the design and development of advanced ML models and algorithms to solve significant e-commerce optimization challenges, focusing on conversion, segmentation, and behavior targeting
- Apply state-of-the-art ML technologies to create data-driven solutions that enhance customer experiences and drive business outcomes
- Coordinate with multi-disciplinary stakeholder teams to ensure seamless delivery of ML-driven solutions, aligning technical efforts with business goals
- Oversee the end-to-end lifecycle of ML projects, from initial data analysis and model development to deployment and performance monitoring
- Provide technical guidance and mentorship to junior engineers, fostering a culture of continuous learning and mutual support within the team
- Emphasize and implement agile, hands-on approaches in project execution, ensuring flexibility and responsiveness to evolving business needs
- Stay up to date of the latest trends and techniques in Machine Learning, driving the continuous improvement of our ML practices and ensuring the team remains at the cutting edge of the field
- Communicate complex technical concepts and project progress effectively to both technical and non-technical stakeholders, ensuring transparency and alignment
- Implement robust testing and validation frameworks to ensure the accuracy, reliability, and scalability of ML models in production
- Encourage and contribute to the team's knowledge sharing, fostering an environment that values innovative thinking and the exploration of new ideas in Machine Learning
- Some telecommuting is permitted
Application process
- End Date: December 4, 2025
Our take
Autodesk supplies software that enables teams to collaborate, design, simulate, and fabricate their ideas in 3D, serving a range of industries such as engineering, product design, and entertainment. Founded in 1982, the company first delivered the AutoCAD system, a commercial computer-aided design and drafting software application, that is still seeing updated releases to this day.
Over 100 million people use Autodesk software across various industries and applications – in some of which it remains nearly irreplaceable. The company has an impressive history of diversification, which it continues to this day. For example, the 2022 acquisition of Moxion, a cloud-based platform for digital dailies used by leading filmmakers, bolstered the company’s offerings for the media and entertainment industry.
The rise of AR and VR technologies is driving modern growth in the computer-aided design market, creating space for Autodesk to expand further. Additionally, a shift to the popular SaaS model positions the company to seek further success.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
4% employee growth in 12 months
Company
Company HQ
SoMa, San Francisco, CA
Leadership
Andrew Anagnost
(CEO & President)Has worked at the company since 1997, including as CMO and Senior Vice President of Business Strategy and Marketing. Became CEO in 2017.
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