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Remote Tech Startup Jobs in New York (NOW HIRING)

Tax Manager (Remote)

New York, NY · Remote

$85K - $100K/yr

... evolving startup-like environment. * Professional confidentiality. * Tech-savvy and highly ... Flexible work arrangements, including remote work options. * Collaborative and inclusive company ...

Account Executive

New York, NY · Remote

$60K - $65K/yr

Ideal Candidate: * 3+ years of sales experience, ideally in SaaS, legal tech, or a startup ... Remote-first environment * Open, diverse, and respectful working culture Compensation: * The pay ...

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Remote Tech Startup information

What is a remote tech startup?

A remote tech startup is a new technology-based company that operates with a distributed team, meaning employees work from various locations rather than a centralized office. These startups leverage digital tools and platforms to collaborate, communicate, and build products or services. Remote tech startups often benefit from accessing a global talent pool, reducing overhead costs, and offering flexible work arrangements. However, they also face challenges such as coordinating across time zones and maintaining team cohesion.

What are the key skills and qualifications needed to thrive at a remote tech startup, and why are they important?

To thrive at a remote tech startup, you need strong technical expertise relevant to your role (such as software development, product management, or design), problem-solving abilities, and experience working in agile or fast-paced environments. Familiarity with collaboration tools like Slack, GitHub, Jira, and cloud-based platforms, as well as remote work best practices, is typically expected. Outstanding self-motivation, adaptability, proactive communication, and time-management skills set top performers apart in remote settings. These skills are crucial for delivering results, fostering innovation, and maintaining alignment within distributed teams.

What are the unique challenges of working at a remote tech startup, and how can I prepare for them?

Working at a remote tech startup often means adapting to fast-paced changes, collaborating across time zones, and staying self-motivated without direct supervision. Communication is key, as teams rely heavily on digital tools to stay connected and aligned on goals. To succeed, it's important to be proactive in seeking feedback, comfortable with ambiguity, and disciplined in managing your time. Embracing flexibility and being open to learning new technologies or processes will help you thrive in this dynamic environment.

What are the most commonly searched types of Tech Startup jobs in New York?

The most popular types of Tech Startup jobs in New York are:

What cities in New York are hiring for Remote Tech Startup jobs?

Cities in New York with the most Remote Tech Startup job openings:

Infographic showing various Remote Tech Startup job openings in New York as of August 2026, with employment types broken down into 2% As Needed, 72% Full Time, 14% Part Time, 11% Contract, and 1% Nights. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution.

Machine Learning Engineer - Search, Ranking & Personalization

Fuku

New York, NY • On-site, Remote

$190K - $260K/yr

Full-time

Re-posted 16 days ago


Job description

Machine Learning Engineer - Search, Ranking & Personalization
Stage: Seed
Founded: 2022
---
Key Job Information

  • <
  • i>Location: New York, NY / San Francisco, CA (Remote OK)
  • <
  • i>Employment Type: Full-Time
  • <
  • i>Experience Level: 3+ years
  • <
  • i>Salary Range: $190,000 - $260,000 per year
  • <
  • i>Equity: Competitive equity package
  • <
  • i>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
  • D
  • esign, train, and deploy large-scale search, ranking, and personalization models.
  • H
  • andle hundreds of millions of items daily with high performance and reliability.
  • C
  • ollaborate closely with backend and infrastructure teams to integrate ML models into production (GraphQL, Prisma, Node.js, Python, gRPC/Protobuf).
  • C
  • ontinuously improve model accuracy and system scalability.
  • C
  • ontribute to product direction and technical roadmap for Client's ML systems.
    ---
    Requirements
    Must-Have Qualifications:
  • M
  • inimum of 3+ years professional experience building and deploying ML models in production.
  • P
  • roven experience with ranking, recommendation, or personalization systems.
  • P
  • roficiency in PyTorch and large-scale data processing for real-time inference.
  • S
  • trong backend integration experience (GraphQL, Prisma, Node.js, Python, gRPC/Protobuf).
  • W
  • illingness to work in a high-intensity, fast-paced startup environment.
  • B
  • ased in New York or remote in San Francisco.
    Preferred Background:
  • C
  • urrent or prior experience at companies like DoorDash, Etsy, Pinterest, Amazon, or eBay.
  • P
  • revious work on consumer-facing search or recommendation products.
    ---
    Benefits & Perks
  • $
  • 190K-$260K base salary plus competitive equity.
  • D
  • irect impact on a core product with a massive, high-retention user base.
  • W
  • ork alongside top-tier engineers from leading consumer tech companies.
  • F
  • ast-paced startup culture with rapid iteration and experimentation.
  • O
  • pportunity 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:
  • E
  • xperience solving large-scale consumer search/ranking challenges (e.g., Pinterest, Meta, TikTok, Amazon Ads).
  • S
  • trong track record shipping high-impact ML features in consumer products.
  • E
  • arly-stage or startup experience with end-to-end ownership of ML pipelines.
  • D
  • emonstrated "builder" mindset - side projects, prototypes, hackathon wins.
  • H
  • igh intrinsic motivation and interest in future entrepreneurship.
    Red Flags:
  • P
  • rimarily B2B search experience with limited data complexity.
  • R
  • esearch-only background without production deployment.
  • P
  • refers management over hands-on technical work.
  • S
  • truggles with ambiguity or high-intensity work environments.
  • U
  • nwilling to relocate or adapt to NYC-based team culture.
    ---
    Ideal Companies
  • A
  • mazon
  • e
  • Bay
  • P
  • interest
  • D
  • oorDash
  • E
  • tsy


    Fuku logo

    About Fuku

    Sourced by ZipRecruiter

    Industry

    Food services and drinking places

    Company size

    51 - 200 Employees

    Headquarters location

    New York, NY, US

    Year founded

    2015