Principal Machine Learning Engineer - Remote USA (*Eligible States)

$249,734 - $277,482/Yr

The RealReal - Bellflower, CA

Full-time - Senior

Remote - Bellflower, CA

Clothing, Clothing Accessories, Shoe, and Jewelry Retailers

About the position

The Principal Machine Learning Engineer at The RealReal is a key role responsible for leading applied science initiatives and projects that significantly impact the business. This position involves collaborating with Product and Engineering teams to develop technical roadmaps, design and deploy machine learning models, and mentor team members, all while contributing to a sustainable future in the luxury resale marketplace.

Responsibilities

• Lead the design, development, and deployment of Machine Learning models that solve key 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.
• 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.

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, algorithms/techniques, and experiment design.
• Experience in at least one of the following domains: price estimation, personalization, recommender systems, computer vision, fraud detection and authentication, marketing.
• Extensive experience in scientific libraries in Python and Machine Learning tools and frameworks.
• Strong data engineering skills and experience working with large scale datasets.
• Experience with big data tools and cloud technologies.
• Fluency in Python and SQL.

Nice-to-haves

• PhD preferred in 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.

Benefits

• 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