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Yami

SEO & Growth Marketing Specialist ( Jr/Sr)

Brea, CA · On-site

$50K - $86K/yr

The ideal candidate has at least three years of SEO or growth marketing experience (preferably in North American e-commerce), is comfortable working in startup environments, understands technical and ...

Yami

SEO & Growth Marketing Specialist ( Jr/Sr)

Brea, CA · On-site

$50K - $70K/yr

The ideal candidate has at least three years of SEO or growth marketing experience (preferably in North American e-commerce), is comfortable working in startup environments, understands technical and ...

Peec AI

AI Search Strategist

New York, NY · On-site

$100K - $150K/yr

About Peec AI Peec AI is a Berlin-based Series A startup building analytics and intelligence tools for modern SEO and growth teams. As AI reshapes how people discover information online, companies ...

Yami

SEO & Growth Marketing Specialist ( Jr/Sr)

Brea, CA · On-site

$50K - $86K/yr

The ideal candidate has at least three years of SEO or growth marketing experience (preferably in North American e-commerce), is comfortable working in startup environments, understands technical and ...

Digital Matter

Manager, Paid Search

New York, NY

$100K - $130K/yr

Paid Search, Manager Location/Office Setup: NY, NY - Hybrid (3 days in-office) Who We Are: At ... We combine the pace and precision of a startup with the discipline and rigor of a global advisory ...

Roku

Paid Search Manager

Denver, CO · On-site

$108K - $121K/yr

About the Role We're seeking an experienced Paid Search Manager to lead our SEM and CPC strategy ... startup environment. #LI-FA1

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How much do search startup jobs pay per hour?

As of Jul 9, 2026, the average hourly pay for search startup in the United States is $70.99, according to ZipRecruiter salary data. Most workers in this role earn between $61.30 and $81.73 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Search Startup Founder, and why are they important?

To thrive as a Search Startup Founder, you need strong expertise in search algorithms, product development, and business strategy, typically supported by a technical degree or relevant experience. Familiarity with search engine technologies (like Elasticsearch or Solr), cloud infrastructure, and data analytics tools is highly valuable. Exceptional leadership, resilience, and the ability to articulate a clear vision are vital soft skills in this role. These skills and qualities are crucial for building innovative products, attracting investment, and guiding a team through the challenges of a competitive technology landscape.

What are some common challenges faced when working at a search startup, and how can new hires prepare for them?

At a search startup, team members often face the challenge of rapidly iterating on algorithms and features to meet evolving user needs and market demands. The work environment is typically fast-paced, with cross-functional collaboration between engineers, data scientists, and product managers. New hires can prepare by brushing up on their problem-solving skills, staying adaptable, and being proactive in communication. Embracing a growth mindset and being open to feedback will help you thrive and contribute meaningfully in this dynamic setting.

What is a Search Startup?

A Search Startup is a company or organization focused on developing new search technologies, platforms, or engines that help users find information online or within specific data sets. These startups typically innovate in areas like web search, enterprise search, AI-powered search, or niche-specific search solutions. They aim to improve how information is indexed, retrieved, and presented to users, often leveraging the latest advancements in machine learning and data analysis. Search Startups play a crucial role in shaping the future of information discovery and accessibility.
More about Search Startup jobs
What cities are hiring for Search Startup jobs? Cities with the most Search Startup job openings:
What states have the most Search Startup jobs? States with the most job openings for Search Startup jobs include:
What job categories do people searching Search Startup jobs look for? The top searched job categories for Search Startup jobs are:
Search Startup jobs near you
Infographic showing various Search Startup job openings in the United States as of July 2026, with employment types broken down into 1% Locum Tenens, 75% Full Time, 19% Part Time, 1% Temporary, and 4% Contract. Highlights an 93% Physical, 2% Hybrid, and 5% Remote job distribution, with an average salary of $147,666 per year, or $71 per hour.
Machine Learning Engineer - Search, Ranking & Personalization

Machine Learning Engineer - Search, Ranking & Personalization

Fuku

New York, NY • On-site, Remote

$190K - $260K/yr

Full-time

Re-posted 3 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

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