ShopMy Logo

ShopMy

Senior Machine Learning Engineer

Reposted Yesterday
Remote
Hiring Remotely in USA
145K-225K Annually
Senior level
Remote
Hiring Remotely in USA
145K-225K Annually
Senior level
Design, build, and operate production-grade ML systems for personalization, search, and recommendations. Own end-to-end pipelines from data ingestion and modeling to deployment, monitoring, and iteration, ensuring scalable, reliable, and observable services.
The summary above was generated by AI

Join ShopMy – Powering the Future of Digital Marketing

ShopMy is transforming e-commerce by building the infrastructure for human-led curation at scale. We help brands run performance-driven creator programs while enabling top creators to monetize their influence and partner directly with the brands they love—driving discovery through trusted tastemakers and authentic recommendations.
ShopMy recently became a unicorn, raising at a $1.5B valuation with backing from Bessemer Venture Partners, Avenir Growth Capital, and Bain Capital Ventures.
At ShopMy, you're building the future of human-led commerce for the world's best brands, tastemakers, and shoppers. You move fast and see immediate impact in your work, alongside accomplished teammates who are driven by helping find the world's best things. If you’re excited to help shape the future of curated commerce at the intersection of technology, culture, and taste, we’d love to meet you.

About the role

We’re looking for a Senior Machine Learning Engineer to help ShopMy build and scale production-grade ML systems across personalization, search, and recommendations.

You’ll work closely with the co-founders and a small, high-impact team to design, build, and ship end-to-end machine learning systems; from data ingestion and modeling to deployment, monitoring, and iteration. This is a hands-on role for engineers who enjoy owning the full ML lifecycle and delivering real product impact. You’ll play a key role in defining and building ShopMy’s foundational ML infrastructure.

What You’ll Do

Build Practical, End-to-End ML Systems
  • Design and ship productionized ML pipelines, from raw data and ETL through model inference and orchestration
  • Build and deploy ML-powered APIs and services that support real user-facing features
  • Own the full lifecycle of ML systems: experimentation, deployment, monitoring, and iteration
Work on Core ML Product Areas
  • Develop ML systems for personalization, search, and recommendations
  • Work with embedding-based systems and vector representations (text, images, or multimodal data)
  • Measure results rigorously and iterate based on real-world performance
ML Engineering & Infrastructure
  • Create and maintain data pipelines and internal tooling
  • Deploy and operate ML systems in production (AWS, containerization, EC2, service orchestration)
  • Ensure systems are scalable, reliable, and observable
  • Monitor model and system performance and improve robustness over time
Engineering Excellence
    • Maintain a high standard for code quality, testing, and system design
    • Collaborate closely with leadership and peers to shape technical direction
    • Move quickly while balancing correctness, reliability, and long-term maintainability

What You Bring

  • Bachelor or PhD in Data Science, Artificial Intelligence, Computer Science or Machine Learning
  • 4+ years experience building or contributing to ML systems used in production
  • Experience with embeddings, retrieval, ranking, or recommendation systems
  • Ability to ship end-to-end solutions, not just models or analyses
  • Strong programming skills (Python required)
  • String data querying and manipulation skills (Pandas, SQL)
  • Comfort working across data, modeling, APIs, and infrastructure
  • Experience operating ML systems at meaningful scale (startup or large company)

In compliance with New York Pay Transparency Law, the salary range for this position is as shown. We note that salary information as a general guideline only, actual compensation may vary from posting based on the offer for this role, including the scope and responsibilities of the position, relevant work experience, key skills, education, training and business considerations. 

New York Pay Range
$145,000$225,000 USD

The provided salary range is base salary, exclusive of bonus potential or commission and is a good faith estimate of cash compensation. ShopMy is flexible pending candidate's experience and how our business needs evolve throughout the search. Every employee of ShopMy receives equity on top of cash compensation!

ShopMy offers a bundle of benefits on top of being a great place to work. 

Our teammates are provided benefits such as:

  • Medical & Dental Coverage at 70%
  • Equity in ShopMy
  • Flexible PTO
  • 14 weeks of parental leave
  • Wellness & Social Stipend
  • Technology Stipend
  • Learning & Development Stipend 
  • 401k program (3% automated contribution from ShopMy!)
  • Wellhub Membership
  • Company retreats
  • Opportunity to monetize your influence- all employees build out a ShopMy page!
  • Birthday PTO
  • Brand new NYC HQ office

Similar Jobs

9 Days Ago
In-Office or Remote
CA, USA
Senior level
Senior level
Blockchain • eCommerce • Fintech • Payments • Software • Financial Services • Cryptocurrency
Design, deploy, and maintain end-to-end ML-driven risk solutions at scale to detect and prevent fraud, abuse, and credit risk. Lead technical decisions, build ML tooling and processes, apply state-of-the-art models and third-party data, investigate emerging risk patterns, and collaborate with platform and cross-functional teams to ensure reliable real-time model operation.
Top Skills: AirflowAWSCi/CdContainerizationGCPKerasMlflowModeMySQLNumpyPandasPrefectPysparkPythonPyTorchScikit-LearnSnowflakeTableauTensorFlowVertex AiXgboost
10 Days Ago
Remote or Hybrid
CA, USA
Senior level
Senior level
Blockchain • Fintech • Mobile • Payments • Software • Financial Services
Design, deploy, and maintain end-to-end ML risk solutions at scale to detect and prevent fraud, merchant risk, and credit loss. Partner with cross-functional teams, lead technical decisions, build ML tooling, monitor models in production, and investigate emerging abuse patterns to improve detection and decisioning.
Top Skills: AirflowAWSCi/CdContainerizationGCPKerasMlflowModeMySQLNumpyPandasPrefectPysparkPythonPyTorchScikit-LearnSnowflakeTableauTensorFlowVertex AiXgboost
Yesterday
Remote or Hybrid
172K-301K Annually
Senior level
172K-301K Annually
Senior level
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Lead architecture and roadmap for a multi-agent AI platform, design agent orchestration, context/memory management, and productionize LLM capabilities at enterprise scale. Provide technical leadership, establish test/evaluation frameworks for non-deterministic AI systems, mentor senior engineers, and align cross-functional strategy to deploy secure, highly available agent-driven features.
Top Skills: AutogenAWSAzureDistributed SystemsGCPGoHigh-Throughput Api DesignIamJavaLangchainLlmsMicroservicesModel Context Protocol (Mcp)Python

What you need to know about the Los Angeles Tech Scene

Los Angeles is a global leader in entertainment, so it’s no surprise that many of the biggest players in streaming, digital media and game development call the city home. But the city boasts plenty of non-entertainment innovation as well, with tech companies spanning verticals like AI, fintech, e-commerce and biotech. With major universities like Caltech, UCLA, USC and the nearby UC Irvine, the city has a steady supply of top-flight tech and engineering talent — not counting the graduates flocking to Los Angeles from across the world to enjoy its beaches, culture and year-round temperate climate.

Key Facts About Los Angeles Tech

  • Number of Tech Workers: 375,800; 5.5% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Snap, Netflix, SpaceX, Disney, Google
  • Key Industries: Artificial intelligence, adtech, media, software, game development
  • Funding Landscape: $11.6 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Strong Ventures, Fifth Wall, Upfront Ventures, Mucker Capital, Kittyhawk Ventures
  • Research Centers and Universities: California Institute of Technology, UCLA, University of Southern California, UC Irvine, Pepperdine, California Institute for Immunology and Immunotherapy, Center for Quantum Science and Engineering

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account