Machine Learning Engineer – Search, Ranking & Personalization
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Job Location:
New York City, NY - USA
Yearly Salary:
$ 190000 - 260000
Posted on:
17 hours ago
Vacancies:
1 Vacancy
Job Summary
Machine Learning Engineer Search Ranking & Personalization
Location: New York NY / San Francisco CA (Remote OK)
Employment Type: Full-Time
Experience Level: 3 years
Salary Range: $190000 $260000 per year
Equity: Competitive equity package
Visa Sponsorship:* H-1B O-1 OPT
About the Company
Client is a fast-growing shopping platform with over 350000 active users and a 90% retention rate. The company is focused on building intelligent personalized search and ranking systems to help users discover and trust products at scale. The team is composed of experienced engineers from leading consumer tech companies such as Pinterest and Amazon.
Role Summary
As a Machine Learning Engineer at Clients company you will join the ML team to design build and scale machine learning systems that drive search ranking and personalization across a platform serving hundreds of millions of items daily. This is a highly impactful role where your work directly influences user retention and trust. You will collaborate with a world-class team of engineers and play a key part in defining the ML search and personalization strategy from the ground up. The position is open to fully remote candidates.
Key Responsibilities
- Design train and deploy large-scale search ranking and personalization models.
- Handle hundreds of millions of items daily with high performance and reliability.
- Collaborate closely with backend and infrastructure teams to integrate ML models into production (GraphQL Prisma Python gRPC/Protobuf).
- Continuously improve model accuracy and system scalability.
- Contribute to product direction and technical roadmap for Clients ML systems.
Must-Have Qualifications
- Minimum of 3 years professional experience building and deploying ML models in production.
- Proven experience with ranking recommendation or personalization systems.
- Proficiency in PyTorch and large-scale data processing for real-time inference.
- Strong backend integration experience (GraphQL Prisma Python gRPC/Protobuf).
- Willingness to work in a high-intensity fast-paced startup environment.
- Based in New York or remote in San Francisco.
Preferred Background
- Current or prior experience at companies like DoorDash Etsy Pinterest Amazon or eBay.
- Previous work on consumer-facing search or recommendation products.
Benefits & Perks
- $190K$260K base salary plus competitive equity.
- Direct impact on a core product with a massive high-retention user base.
- Work alongside top-tier engineers from leading consumer tech companies.
- Fast-paced startup culture with rapid iteration and experimentation.
- Opportunity to build the ML search and personalization strategy from scratch.
Key Skills
- Industrial Maintenance
- Machining
- Mechanical Knowledge
- CNC
- Precision Measuring Instruments
- Schematics
- Maintenance
- Hydraulics
- Plastics Injection Molding
- Programmable Logic Controllers
- Manufacturing
- Troubleshooting
