Principal Machine Learning Engineer

About The RoleThe RealReal is the world’s largest authenticated luxury resale marketplace. We partner with our 34M+ buyers and consignors to build a more sustainable future for fashion, and that starts with our employees. If you want to be a part of building a more sustainable world, and are passionate about applying your machine learning and AI skills to delight our customers, we’d love for you to join our dynamic team!The Principal Machine Learning Engineer is responsible for the success of key applied science initiatives and projects across related domains. They will work closely with Product and Engineering partners in the development of technical roadmaps and initiatives that have strategic impact to the business.• *Target start date: January 6, 2025**What You Get To Do Every Day• Considered the Subject Matter Expert (SME) in one or two domains.• Lead the design, development and deployment of Machine Learning models that solve key/strategic business problems.• Develop and maintain clean, efficient, and scalable code that meets industry standards.• Analyze large datasets to extract actionable insights and make informed decisions.• Employ state-of-the-art Machine Learning methodologies and frameworks to develop robust and scalable models.• Influence technical direction and take ownership of key components of systems and solutions, ensuring that they meet the needs of the business.• Collaborate with key stakeholders in the development of data-driven solutions and deployable products.• Mentor and guide team members to help establish team domain expertise.• Contribute to the company’s intellectual property and technical leadership through patents and publications at top-tier conferences and journals.What You Bring To The RoleMinimum Requirements:• 10+ years of industry experience in applied Machine Learning• Masters Degree or PhD in CS / ML or related field• 8+ years experience in building, deploying, and managing machine learning models in production environments at scale• Deep understanding of ML best practices (A/B testing, training/serving pipelines, feature engineering etc), algorithms/techniques (gradient boosting, deep neural networks, optimization, regularization), and experiment design• Experience in at least one of these domains: price estimation, personalization, recommender systems, computer vision, fraud detection and authentication, marketing• Extensive experience in scientific libraries in Python (numpy, pandas) and Machine Learning tools and frameworks (Scikit-Learn, Tensorflow, Keras, PyTorch)• Strong data engineering skills and experience working with large scale datasets• Experience with big data tools (Apache Beam, Apache Kafka, Spark)• Experience with cloud technologies AWS, GCP or Azure• Fluency in Python, SQLPreferred Requirements:• PhD preferred (CS, ML, AI or related field)• Background in applying ML techniques to solve real-world business problems in the retail sector.• Familiarity with MLOps tools and pipelines.• Impact-focused and passionate about delivering high-quality models.• Demonstrated leadership experience, with the ability to lead and inspire a team.Compensation, Benefits, + Perks• Employee Stock Purchase Plan• 401K with Company Match• Medical, Dental & Vision Insurance• Paid Parental Leave• Unlimited Discretionary Time Off (DTO)* and 10 Paid Company Holidays• * Unlimited DTO with Manager approvalThe expected salary range for this role is $249,734.00-$277,482.00. To determine starting pay we carefully consider a variety of factors, including primary work location and an evaluation of a candidate’s skills, experience, market demands, and internal parity. Additionally, salary is just one component of TRR’s total rewards package. Depending on role, employees may also be eligible for a bonus program, incentive pay and benefits.The RealReal is the world’s largest online marketplace for authenticated, resale luxury goods, with more than 30 million members. With a rigorous authentication process overseen by experts, The RealReal provides a safe and reliable platform for consumers to buy and sell their luxury items. We have hundreds of in-house gemologists, horologists and brand authenticators who inspect thousands of items each day. As a sustainable company, we give new life to pieces by thousands of brands across numerous categories—including women's and men's fashion, fine jewelry and watches, art and home—in support of the circular economy. We make selling effortless with free virtual appointments, in-home pickup, drop-off and direct shipping. We do all of the work for consignors, including authenticating, using AI and machine learning to determine optimal pricing, photographing and listing their items, as well as handling shipping and customer service. At our 13 retail locations, including our twelve shoppable stores, customers can sell, meet with our experts and receive free valuations.The RealReal is committed to providing an equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or expression, or Veteran status. We will consider qualified applicants for a position regardless of arrest or conviction records. At TRR, People Come First. That’s why diversity and inclusion are vital to our priorities as an equal opportunity employer. You can read about our Diversity Equity and Inclusion program here.Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. The employee is regularly required to sit; use hands to finger, handle, or feel and talk or hear. The employee is occasionally required to stand; walk; reach with hands and arms; climb or balance; stoop, kneel, crouch, or crawl; and taste or smell. The employee must occasionally lift and/or move up to 10 pounds. Specific vision abilities required by this job include close vision. The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job.