{
  "job_id": "NH5jjiV4-qFz2C0bAAAAAA==",
  "job_city": "Plano",
  "job_state": "Texas",
  "job_title": "Senior Principal Machine Learning Engineer - eCommerce & Personalization. Job in Plano Move Collective Jobs",
  "job_salary": null,
  "job_country": "US",
  "job_benefits": null,
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  "job_location": "Plano, TX, United States",
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      "publisher": "Move Collective Jobs",
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  "employer_name": "Autodesk",
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  "job_posted_at": "8 days ago",
  "job_publisher": "Move Collective Jobs",
  "job_apply_link": "https://jobs.movecollective.uk/jobs/senior-principal-machine-learning-engineer-ecommerce-personalization-plano-texas/2677706545-2/?utm_campaign=google_jobs_apply&utm_source=google_jobs_apply&utm_medium=organic",
  "job_highlights": {
    "Benefits": [
      "Benefit from flexible work arrangements and a culture that prioritizes innovation, learning, and inclusivity",
      "We offer an extensive range of benefits, from health and financial benefits to time off and everyday wellness, ensuring Autodeskers can perform at their best",
      "Salary Transparency",
      "At Autodesk, we believe in transparent compensation",
      "For U.S.-based roles, the expected starting base salary ranges from $166,600 to $269,500, based on experience and geographical location—and may exceed this range",
      "Our compensation package also includes potential cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package"
    ],
    "Qualifications": [
      "If you are enthusiastic about addressing complex business challenges and building scalable ML systems, we encourage you to apply even if you don't meet every qualification",
      "We acknowledge that talent comes in various forms",
      "Bonus Experience (Not Required)",
      "Familiarity with cloud ML platforms (AWS, Azure) and MLOps practices",
      "Experience with personalization systems and real-time inference pipelines"
    ],
    "Responsibilities": [
      "We are searching for a Senior Principal Machine Learning Engineer to be at the forefront of shaping Autodesk's B2C eCommerce platform",
      "This pivotal role encompasses full-lifecycle ownership—from ideation and modeling through to deployment and optimization",
      "You will work collaboratively across disciplines to develop intelligent systems that enrich user experiences and deliver tangible results",
      "Lead the design, training, and deployment of machine learning models for real-time personalization across Autodesk's eCommerce ecosystem",
      "Work closely with Product Managers and Experience Designers to determine the scope and implementation of personalization features",
      "Translate business challenges into scalable ML or analytics solutions",
      "Partner with the MLOps team to ensure the seamless production of models and optimal real-time inference performance",
      "Establish experimentation frameworks and conduct A/B tests to assess impact metrics like click-through rate, bounce rate, and cart addition rate",
      "Develop models that are scalable across various product categories, including integrations with third-party systems within Autodesk's evolving marketplace",
      "Encourage a data-informed culture by contributing to initiatives in segmentation, recommendation systems, forecasting, churn prediction, and product analytics",
      "Mentor and support team members to cultivate a collaborative and inclusive environment",
      "Engage in high-impact projects that influence the future of digital commerce",
      "Collaborate with a diverse and talented team of engineers, scientists, and product leaders"
    ]
  },
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  "job_description": "Job Requisition ID #\n\n25WD90525\n\nAbout the Team\n\nAt GET (Growth Experience Technology), we are on a mission to redefine the way customers discover, buy, and utilize Autodesk. Our focus is on creating seamless, data-driven digital experiences that are intuitive, personalized, and scalable—empowering both customers and internal teams.\n\nWe are dedicated to enhancing our platforms, integrating sales and marketing systems, and leveraging technologies that reveal deeper customer insights and accelerate decision-making.\n\nThe Role\n\nWe are searching for a Senior Principal Machine Learning Engineer to be at the forefront of shaping Autodesk's B2C eCommerce platform. This pivotal role encompasses full-lifecycle ownership—from ideation and modeling through to deployment and optimization. You will work collaboratively across disciplines to develop intelligent systems that enrich user experiences and deliver tangible results. If you are enthusiastic about addressing complex business challenges and building scalable ML 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 machine learning models for real-time personalization across Autodesk's eCommerce ecosystem.\n• Work closely with Product Managers and Experience Designers to determine the scope and implementation of personalization features.\n• Translate business challenges into scalable ML or analytics solutions.\n• Partner with the MLOps team to ensure the seamless production of models and optimal real-time inference performance.\n• Establish experimentation frameworks and conduct A/B tests to assess impact metrics like click-through rate, bounce rate, and cart addition rate.\n• Develop models that are scalable across various product categories, including integrations with third-party systems within Autodesk's evolving marketplace.\n• Encourage a data-informed culture by contributing to initiatives in segmentation, recommendation systems, forecasting, churn prediction, and product analytics.\n• Mentor and support team members to cultivate a collaborative and inclusive environment.\n\nQualifications\n\nWe acknowledge that talent comes in various forms. If you align with most of the criteria and are excited about the role, we want to hear from you.\n\nPreferred Experience\n• A background in Data Science, Statistics, Computer Science, or a related field (applicants from non-traditional data science backgrounds are also welcome).\n• 7+ years of relevant hands-on experience, focusing on machine learning infrastructure, model deployment, optimization, 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• Proficiency in applying statistical and probabilistic methods to address real-world issues; familiarity with financial modeling is an advantage.\n• Ability to translate data insights into actionable business outcomes.\n• Experience in eCommerce, marketing technology, go-to-market systems, or other high-scale data environments (such as fintech or social platforms).\n\nBonus Experience (Not Required)\n• An advanced degree is preferred but not necessary; significant 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?\n• Engage in high-impact projects that influence the future of digital commerce.\n• Collaborate with a diverse and talented team of engineers, scientists, and product leaders.\n• Benefit from flexible work arrangements and a culture that prioritizes innovation, learning, and inclusivity.\n\nAbout Autodesk\n\nWelcome to Autodesk! Every day, extraordinary things are crafted with our software—from sustainable buildings and efficient vehicles to innovative factories and blockbuster films. We empower innovators to bring their ideas to life, reshaping how things are made and what can be achieved.\n\nOur culture is foundational to Autodesk; it shapes our work and interactions and defines our relationships with customers and partners.\n\nAs an Autodesker, you can engage in meaningful work that contributes to creating a better world designed and built for everyone. Are you ready to make a difference and shape your future? Join us!\n\nBenefits\n\nWe offer an extensive range of benefits, from health and financial benefits to time off and everyday wellness, ensuring Autodeskers can perform at their best. Learn more about our benefits in the U.S. by visiting our careers page.\n\nSalary Transparency\n\nAt Autodesk, we believe in transparent compensation. For U.S.-based roles, the expected starting base salary ranges from $166,600 to $269,500, based on experience and geographical location—and may exceed this range. Our compensation package also includes potential cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package.\n\nEqual Employment Opportunity\n\nAutodesk is committed to fostering a diverse workplace and an inclusive culture, giving everyone the chance to imagine, design, and create a better world. We are proud to be an equal opportunity employer, considering all qualified applicants for employment 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 evaluate all qualified candidates regardless of criminal histories, consistent with applicable laws.\n\nDiversity & Belonging\n\nWe are dedicated to promoting a culture of belonging where everyone can thrive. Learn more about our diversity initiatives on our website.",
  "job_google_link": "https://www.google.com/search?ibp=htl;jobs&q&htidocid=NH5jjiV4-qFz2C0bAAAAAA%3D%3D&hl=en-GB&shem=epsd1&shndl=37&shmd=H4sIAAAAAAAA_z2NMWsCQRCFsfUnpHpFsAh6F4Q0sRIRIUQ4MEI6Wddhb3Rv5tjZBEmVIv_Af2jpr8imSfN4w3vzveFtMPwZbEhYE5rE4rl3EWvnWxbCK7kkLAFLCeWmhAlooV1HyRNGaCiZiov85TKrVHjRPVjQRCeKtX4SFhoj-czFltBw_b7gWFpW0L6FClaqIdLdrM25t-e6NotVsFyIvvLa1Sq013NdnuxPdta6RH10mXbTp8dz1Ut4uJ9_ZD2Qnf7Xx3h7H2MrnOmATaGR_QLAione7QAAAA&shmds=v1_ATWGeeNS0pRFi6b7bOT2Ff2VQStFq_kRe12aW2XdH_QNvBL4Lw&source=sh/x/job/li/m1/1#fpstate=tldetail&htivrt=jobs&htiq&htidocid=NH5jjiV4-qFz2C0bAAAAAA%3D%3D",
  "employer_website": "https://www.autodesk.com",
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  "job_employment_type": "Full–time",
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  "job_posted_at_timestamp": 1773964800,
  "job_posted_at_datetime_utc": "2026-03-20T00:00:00.000Z"
}