{
  "job_id": "aboZ-SOZPEyxAkC9AAAAAA==",
  "job_city": "San Francisco",
  "job_state": "California",
  "job_title": "Senior Principal Machine Learning Engineer - eCommerce & Personalization. Job in San Francisco Move Collective Jobs",
  "job_salary": null,
  "job_country": "US",
  "job_benefits": null,
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  "job_location": "San Francisco, CA, United States",
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  "employer_name": "Autodesk",
  "job_is_remote": false,
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  "job_posted_at": "7 days ago",
  "job_publisher": "Move Collective Jobs",
  "job_apply_link": "https://jobs.movecollective.uk/jobs/senior-principal-machine-learning-engineer-ecommerce-personalization-san-francisco-california/2678539673-2/?utm_campaign=google_jobs_apply&utm_source=google_jobs_apply&utm_medium=organic",
  "job_highlights": {
    "Benefits": [
      "We provide exceptional health and financial benefits, time off, and wellness programs to empower our employees to perform at their best",
      "Salary Transparency",
      "Salary is a vital element of Autodesk's competitive compensation framework",
      "For U.S.-based positions, the anticipated starting base salary ranges from $166,600 to $269,500. Offers will consider the candidate's experience and location, and might exceed this range",
      "In addition to base salaries, our compensation consists of potential annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package"
    ],
    "Qualifications": [
      "Familiarity with cloud ML platforms (AWS, Azure) and MLOps practices",
      "Experience with personalization systems and real-time inference pipelines"
    ],
    "Responsibilities": [
      "We are on the lookout for a Senior Principal Machine Learning Engineer to play a key role in shaping the future of Autodesk's B2C eCommerce platform",
      "This position encompasses complete lifecycle ownership—from ideation and modeling to deployment and optimization",
      "You will engage in cross-disciplinary collaboration to develop intelligent systems designed to personalize user experiences and deliver tangible results",
      "Lead the design, training, and deployment of ML models for real-time personalization throughout Autodesk's eCommerce ecosystem",
      "Work alongside Product Managers and Experience Designers to determine the best strategies for implementation of personalization",
      "Translate business challenges into scalable ML or analytics solutions",
      "Collaborate closely with the MLOps team to productionize models, ensuring optimal real-time inference performance",
      "Develop experimentation frameworks and conduct A/B tests to evaluate impact (e.g., CTR, bounce rate, add-to-cart rate)",
      "Build models that scale across product categories, including third-party integrations for Autodesk's evolving marketplace",
      "Promote a data-informed culture by contributing to initiatives in segmentation, recommendation systems, forecasting, churn prediction, and product analytics",
      "Mentor and assist team members, fostering a collaborative and inclusive environment",
      "Contribute to high-impact projects that will shape the future of digital commerce",
      "Collaborate with a diverse and talented group of engineers, scientists, and product leaders"
    ]
  },
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  "job_description": "Job Requisition ID #\n25WD90525\n\nAbout the Team\nAt GET (Growth Experience Technology), we are committed to revolutionizing how customers engage with Autodesk. Our goal is to create seamless, data-driven digital experiences that are intuitive and personalized, catering to both customers and internal teams. We are investing in advanced platforms, interconnected sales and marketing systems, and technologies that provide deeper customer insights and enable faster decision-making.\n\nThe Role\nWe are on the lookout for a Senior Principal Machine Learning Engineer to play a key role in shaping the future of Autodesk's B2C eCommerce platform. This position encompasses complete lifecycle ownership—from ideation and modeling to deployment and optimization. You will engage in cross-disciplinary collaboration to develop intelligent systems designed to personalize user experiences and deliver tangible results. If you are driven to tackle complex business challenges and build scalable machine learning systems, we encourage you to apply, even if you don't meet every qualification.\n\nWhat You'll Do\n• Lead the design, training, and deployment of ML models for real-time personalization throughout Autodesk's eCommerce ecosystem.\n• Work alongside Product Managers and Experience Designers to determine the best strategies for implementation of personalization.\n• Translate business challenges into scalable ML or analytics solutions.\n• Collaborate closely with the MLOps team to productionize models, ensuring optimal real-time inference performance.\n• Develop experimentation frameworks and conduct A/B tests to evaluate impact (e.g., CTR, bounce rate, add-to-cart rate).\n• Build models that scale across product categories, including third-party integrations for Autodesk's evolving marketplace.\n• Promote a data-informed culture by contributing to initiatives in segmentation, recommendation systems, forecasting, churn prediction, and product analytics.\n• Mentor and assist team members, fostering a collaborative and inclusive environment.\n\nQualifications\nWe appreciate that talent is multifaceted. If you match most of the criteria and are excited about the position, we’d love to hear from you.\n\nPreferred Experience\n• Strong background in Data Science, Statistics, Computer Science, or related fields (applications from non-traditional data science backgrounds are welcome).\n• 7+ years of practical experience in relevant areas.\n• Expertise in machine learning infrastructure, model deployment, optimization, and software design, architecture, and product development.\n• Familiarity with data mining, information retrieval, and statistical modeling.\n• Experience with A/B testing and experimental design.\n• Proven capability of applying statistical and probabilistic methods to address real-world issues; experience in financial modeling is a plus.\n• Investment in linking data insights to business successes.\n• Exposure to eCommerce, marketing technology, go-to-market systems, or other high-scale data environments (e.g., fintech, social platforms).\n\nBonus Experience (Not Required)\n• Advanced degree is preferred, but industry experience is highly valued.\n• Familiarity with cloud ML platforms (AWS, Azure) and MLOps practices.\n• Experience with personalization systems and real-time inference pipelines.\n\nWhy Autodesk?\nContribute to high-impact projects that will shape the future of digital commerce. Collaborate with a diverse and talented group of engineers, scientists, and product leaders. Enjoy flexible work arrangements in a culture that champions innovation, learning, and inclusion.\n\nAbout Autodesk\nAt Autodesk, amazing things are created every day with our software—from sustainable buildings and eco-friendly vehicles to cutting-edge factories and blockbuster films. We enable innovators to turn their ideas into reality, transforming not just how things are made, but what can be made.\n\nOur culture is a point of pride at Autodesk; it aligns our work and interactions with one another and informs how we engage with customers and partners.\n\nWhen you work at Autodesk, you engage in meaningful tasks that aid in constructing a better world designed for everyone. Are you ready to shape the future? Join us!\n\nBenefits\nWe provide exceptional health and financial benefits, time off, and wellness programs to empower our employees to perform at their best. Explore our benefits in the U.S.\n\nSalary Transparency\nSalary is a vital element of Autodesk's competitive compensation framework. For U.S.-based positions, the anticipated starting base salary ranges from $166,600 to $269,500. Offers will consider the candidate's experience and location, and might exceed this range. In addition to base salaries, our compensation consists of potential annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package.\n\nEqual Employment Opportunity\nAt Autodesk, we are dedicated to cultivating a diverse and inclusive workplace, providing opportunities for everyone to imagine, design, and create a better world. We proudly uphold equal opportunity employment and consider 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. We also review all qualified applicants regardless of criminal histories, in line with applicable law.\n\nDiversity & Belonging\nWe take pride in nurturing a culture of belonging that enables everyone to succeed.\n\nAre you an existing contractor or consultant with Autodesk?\nPlease search for open jobs and apply internally instead of on this external site.",
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  "employer_website": "https://www.autodesk.com",
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  "job_employment_type": "Full–time",
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  "job_posted_at_timestamp": 1774051200,
  "job_posted_at_datetime_utc": "2026-03-21T00:00:00.000Z"
}