Manager, Applied Science

Manager, Applied Science Bellflower, CA Job Details Full-time $232,789 - $264,375 a year 18 hours ago Benefits Paid parental leave Employee stock purchase plan Paid holidays Health insurance Dental insurance Parental leave Vision insurance 401(k) matching Qualifications TensorFlow Management Computer Science Scientific publications PyTorch Computer vision Amazon SageMaker Mathematics Inbound logistics Google Cloud Platform Scalable systems E-commerce 3 years Master's degree Doctoral degree in Computer Science Team development Hiring Doctor of Philosophy Model deployment Object detection Mentoring Natural language processing Recruiting Scalability Master's degree in electrical engineering Master's degree in mathematics Master's degree in computer science Fraud prevention and detection Metadata Business requirements Machine learning libraries Senior level Electrical Engineering AI Research & development Machine learning frameworks Doctoral degree in electrical engineering Generative AI Full Job Description About The Role The Inbound team is the gateway to our marketplace. We build high-scale, automated systems that ensure every item entering our ecosystem is authentic and documented with high-fidelity digital listings. As the Applied Science Manager (ASM) for Inbound, you will lead a world-class team of scientists to solve complex problems in computer vision, natural language processing, and multi-modal learning. You will own the end-to-end lifecycle of our AI systems—from early-stage research and architectural design to global deployment and long-term maintenance. This is a high-impact leadership role requiring a blend of deep technical expertise and the ability to mentor a high-performing team in a fast-paced environment. What You Get To Do Every Day Lead the design, development, and deployment of scalable AI models that process millions of items with high precision and low latency. Help define the long-term science roadmap for Inbound, ensuring our AI solutions remain at the cutting edge of authenticity verification and automated metadata extraction. Partner closely with Product, Engineering, and Business teams to translate business requirements and goals into precise, data-driven, and validated technical solutions. Recruit, mentor, and retain a diverse team of Applied Scientists, fostering a culture of scientific rigor and iterative innovation. Oversee the health and performance of production models, ensuring they remain performant as data distributions shift and business needs evolve. 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 Role Minimum Requirements:

PhD or Master's degree in Computer Science, Electrical Engineering, Mathematics, or a related quantitative field. 3+ years of industry experience directly managing a team of Applied Scientists or Applied Research Engineers. 5+ years of experience building and deploying large-scale machine learning models (e.g., Computer Vision, NLP, or Multimodal systems) into production. Professional experience with Python and deep learning frameworks such as PyTorch or TensorFlow. Proven ability to translate ambiguous business problems into technical roadmaps and deliver results through others.

Preferred Requirements:

Expertise in

Computer Vision:

deep knowledge of algorithms/techniques for Image Recognition, Object Detection, and/or Generative AI (LLMs/Diffusion models), specifically applied to product categorization or fraud detection. Experience with cloud-based ML pipelines (e.g., AWS SageMaker, GCP Vertex AI), handling of massive datasets, and design of experiments. A strong publication record in top-tier conferences (e.g., CVPR, ICML, NeurIPS) or a history of significant patent contributions. Experience working in e-commerce, logistics, or supply chain technology, with a focus on high-throughput "inbound" processing. Ability to explain complex scientific concepts to non-technical stakeholders and executive leadership effectively. Compensation, Benefits, + Perks Employee Stock Purchase Plan 401K with Company Match Medical, Dental & Vision Insurance Paid Parental Leave 9 Paid Company Holidays Flexible Time Off (With Manager Approval) Find out more about our Benefits here. The expected salary range for this role is $232,789.00-$264,375.00. 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 37 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 handle 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 shipping and customer service. 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.