Job Opportunities
Find jobs near you, whether onsite, hybrid, or remote.- Similar Jobs to: Remote Machine Learning Engineer II - P2P - Personalization
Machine Learning Engineer - Search, Ranking & Personalization
FukuUnited States
Machine Learning Engineer – Search, Ranking & PersonalizationStage: Seed Founded: 2022 Location: New York, NY / San Francisco, CA (Remote OK) Employment Type: Full-Time Experience Level: 3+ years Sala
Remote Machine Learning Engineer I, Personalization, Minesweeper
grabjobsUnited StatesThe Personalization team makes deciding what to play next on Spotify easier and more enjoyable for every listener. We seek to understand the world of music, podcasts, and audiobooks better than anyone
Machine Learning Engineer, Ads Personalization
ParamountUnited States#WeAreParamount on a mission to unleash the power of content... you in? We've got the brands, we've got the stars, we've got thepowerto achieve our mission to entertain the planet - now all we're miss
Machine Learning Engineer (Foundation Models & Personalization)
Eight SleepSan FranciscoJoin the Sleep Fitness Movement At Eight Sleep, we’re on a mission to fuel human potential through optimal sleep. As the world’s first sleep fitness company, we’re redefining what it means to be well‑
Senior Machine Learning Engineer, Personalization, Music Understanding
SpotifyNew YorkOverview The Personalization team makes deciding what to play next easier and more enjoyable for every listener. From Blend to Discover Weekly, we’re behind some of Spotify’s most-loved features. We b
Remote Machine Learning Engineer
grabjobsUnited StatesThe Music Promotion team is building products that allow creators to promote their work to reach new audiences and create lasting connections with their fans. We’re looking for a Machine Learning Engi
Remote Machine Learning Engineer
grabjobsUnited StatesOur story:The widespread adoption of intelligent technologies powered by automation, AI, ML, and knowledge graphs is accelerating. As these technologies become increasingly accessible, our aim is to m
Remote Machine Learning Engineer
grabjobsUnited StatesGridmatic Inc. is a high-growth startup with offices in the Bay Area and Houston that is accelerating the clean energy transition by applying our expertise in data, machine learning, and energy to pow
Machine Learning Engineer | Remote
Crossing HurdlesNew YorkResponsibilitiesArchitect, implement, and optimize advanced machine learning algorithms and systems tailored to business needs.Collaborate closely with cross‑functional stakeholders to identify opport
Remote Machine Learning Engineer
grabjobsUnited StatesFully Remote Position Preferred Locations:Midwest based: Indianapolis, IN or IL, Chicagoland Area preferred Who We Are: K1x is the leading data distribution platform for alternative investments. Simpl
Remote Machine Learning Engineer
GrabJobsNew YorkOur story: The widespread adoption of intelligent technologies powered by automation, AI, ML, and knowledge graphs is accelerating. As these technologies become increasingly accessible, our aim is to
Machine Learning Engineer (Remote)
Sunergi IncDurhamSunergi Inc.Machine Learning EngineerFull-timeWe are expanding rapidly and are seeking new, experienced and hands‑on team members who think outside of the box (and are not afraid to share their though
Remote Machine Learning Engineer - Relevance & Learning Systems
grabjobsUnited StatesAbout Wizard Wizard is the top-performing AI Shopping Agent, delivering the best products from across the web with unmatched accuracy, quality, and trust.The Role We’re looking for a Machine Learning
Remote Senior Machine Learning Engineer
grabjobsUnited StatesSenior Machine Learning EngineerLocation:SF or Waterloo, with ability to travel Start Date:Flexible, ideally Q3 2025AboutHum.aiHum.aiis building planetary superintelligence. Backed by top funds, we’ve
Remote Machine Learning/AI Engineer
GrabJobsNew YorkWho is Element? We serve as a partner at the intersection of innovation and our clients needs, efficiently crafting meaningful user experiences for government and commercial customers. By breaking dow
Lead Machine Learning Engineer - REMOTE
LennarUnited StatesLead ML Engineer - REMOTEWe are LennarLennar is one of the nation's leading homebuilders, dedicated to making an impact and creating an extraordinary experience for their Homeowners, Communities, and
Remote Machine Learning Engineer - Perception
grabjobsUnited StatesBuild the Path Forward At Path Robotics, we’re building the future of embodied intelligence. Our AI-driven systems enable robots to adapt, learn, and perform in the real world closing the skilled labo
Remote Associate Machine Learning Engineer
grabjobsUnited StatesThe Personalization (PZN) team makes deciding what to play next on Spotify easier and more enjoyable for every listener. We seek to understand the world of music, podcasts, and audiobooks better than
Remote Lead Machine Learning Engineer
GrabJobsNew YorkWHO ARE WE? Launch Potato is a digital media company with a portfolio of brands and technologies. As The Discovery and Conversion Company, Launch Potato is a leading connector of advertisers to custom
Machine Learning Engineer Remote - US
TwilioSan FranciscoAbout the role At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to hundreds of thousands of businesses and empower millions of
Remote Machine Learning Engineer (Remote Position)
grabjobsUnited StatesEntefy’s Machine Learning Engineer is a highly visible position internally and externally. This is where your deep experience and great insights intersect with an amazing opportunity to shape the futu
Remote Senior AI/Machine Learning Engineer
grabjobsUnited StatesCompany DescriptionDevIQ specializes in building modern cloud and data solutions – and we believe in the power of software and technology to improve lives. Join us to partner with passionate mid-marke
Remote Senior Machine Learning Engineer - Learned Planning/Reinforcement Learning
grabjobsUnited StatesAbout the CompanyAt Torc, we have always believed that autonomous vehicle technology will transform how we travel, move freight, and do business.A leader in autonomous driving since 2007, Torc has spe
Remote Machine Learning Engineer / Data Scientist
grabjobsUnited StatesAbout Fusemachines Founded in 2013, Fusemachines is a global provider of enterprise AI products and services, on a mission to democratize AI. Leveraging proprietary AI Studio and AI Engines, the compa
Remote Principal Machine Learning Engineer (Mexico)
GrabJobsNew YorkThe salary range for this role is $50,000 - $120,000 per year (Gross in USD) About Sezzle: With a mission to financially empower the next generation, Sezzle is revolutionizing the shopping experience
Machine Learning Engineer - Search, Ranking & Personalization
- United States
- United States
About
Stage: Seed Founded: 2022 Location: New York, NY / San Francisco, CA (Remote OK) Employment Type: Full-Time Experience Level: 3+ years Salary Range: $190,000 – $260,000 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 350,000 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 Client's 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, Node.js, Python, gRPC/Protobuf). Continuously improve model accuracy and system scalability. Contribute to product direction and technical roadmap for Client's ML systems. Requirements
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, Node.js, 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. Interview Process
1. Intro call with Head of Recruiting 2. Technical Interview 3. Coding Interview 4. CTO Interview 5. Onsite Interview 6. Offer Extended 7. Hire Candidate Guidelines
Green Flags:
Experience solving large-scale consumer search/ranking challenges (e.g., Pinterest, Meta, TikTok, Amazon Ads). Strong track record shipping high-impact ML features in consumer products. Early-stage or startup experience with end-to-end ownership of ML pipelines. Demonstrated "builder" mindset — side projects, prototypes, hackathon wins. High intrinsic motivation and interest in future entrepreneurship. Red Flags:
Primarily B2B search experience with limited data complexity. Research-only background without production deployment. Prefers management over hands-on technical work. Struggles with ambiguity or high-intensity work environments. Unwilling to relocate or adapt to NYC-based team culture. Ideal Companies
Amazon - eBay - Pinterest - DoorDash - Etsy
Languages
- English
This job comes from a TieTalent partner platform. Click "Apply Now" to submit your application directly on their site.