1stDibs · 2 days ago
Lead Machine Learning Engineer
1stDibs is a leading global online marketplace that connects design lovers with extraordinary pieces. As the Lead Machine Learning Engineer, you will develop intelligent, data-driven products to enhance user experience and drive business growth, focusing on algorithms for search, recommendations, and pricing insights.
ArtE-CommerceFashionFurnitureMarketplaceOnline Auctions
Responsibilities
Lead the design, development, and deployment of scalable machine learning models and services for core business areas, including search relevance, advertising, pricing, and recommendations
Architect and build robust, production-grade ML pipelines and REST APIs to serve models at scale
Collaborate closely with product managers, engineers, and other stakeholders to understand business requirements and translate them into technical solutions
Drive innovation by researching and experimenting with new algorithms and technologies to solve complex problems
Own the end-to-end lifecycle of machine learning projects, from initial ideation and data analysis to deployment, monitoring, and iteration
Qualification
Required
5+ years of hands-on experience building and deploying machine learning models in a production environment
Strong understanding of core ML algorithms, including classification, regression, ranking, and recommendation systems, and know when to apply them
Proficient in Python and common ML frameworks like Scikit-learn, TensorFlow, or PyTorch
Proven experience building and maintaining production services and REST APIs, demonstrating strong software engineering fundamentals
Experience with cloud platforms (e.g., AWS, GCP, Azure) for deploying and managing ML workloads
Strategic thinker with the ability to connect machine learning initiatives to tangible business and product outcomes
Strong communicator and collaborator, capable of leading complex projects and working effectively with cross-functional teams
Preferred
Experience with Large Language Models (LLMs) and their application in areas like search or recommendations
Experience with MLOps principles and tools (e.g., MLflow, Kubeflow)
Familiarity with search technologies such as Elasticsearch or Solr
Previous experience working in an e-commerce or online marketplace environment
Benefits
Competitive medical/dental/vision benefits, including a $0 single medical plan, with HSA employer contributions. Health plan includes gender affirmation and infertility care.
We are flexible with our PTO. We generally expect employees take around 15 days/year.
All employees enjoy ownership in 1stDibs in RSUs, through new hire grants, and/or annual refresh grants, if eligible.
The choice to work in our New York headquarters, with monthly in-office meals and mixers, and happy hours, and/or the option to work completely remotely. We truly prioritize flexibility for all employees.
Fully paid wellness benefits, including One Medical membership and WellHub.
Fully paid parental leave, leave to care for a family member, and bereavement leave, including reproductive loss.
Company match of donations to 501c3 charities, up to $250/year.
Full benefits package includes FSA, life and disability insurance, EAP, commuter benefits, and more.
Company
1stDibs
1stdibs is an internet company that offers a marketplace for rare and desirable objects in furniture, fashion, fine art, and jewelry.
H1B Sponsorship
1stDibs has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (2)
2024 (1)
2023 (2)
2022 (8)
2021 (1)
2020 (2)
Funding
Current Stage
Public CompanyTotal Funding
$253MKey Investors
T. Rowe PriceInsight PartnersAlibaba Group
2021-06-09IPO
2019-03-28Series D· $76M
2015-09-09Secondary Market· $60M
Recent News
vcnewsdaily
2025-11-19
2025-11-19
Company data provided by crunchbase