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Company Ranking Jobs in Newark, NJ (NOW HIRING)

Mission North

Senior Director/VP, Fintech

New York, NY · On-site +1

Mission North is a Fast Company Most Innovative Company, ranking #3 in its inaugural PR and Brand Strategies category. * We foster a culture of lifelong learning and personal growth, supporting ...

Mission North

Senior Director/VP, Fintech

New York, NY · On-site

Mission North is a Fast Company Most Innovative Company, ranking #3 in its inaugural PR and Brand Strategies category. * We foster a culture of lifelong learning and personal growth, supporting ...

Shaped

Senior Solutions Engineer (Full-time)

Brooklyn, NY · On-site

$80K - $150K/yr

Company Description Shaped is a machine-learning platform for data teams to build real-time ... Responsibilities include connecting external data sources to Shaped, creating ranking models with ...

Shaped

Senior Data Scientist

Brooklyn, NY · On-site

$100K - $150K/yr

Company Description Shaped is an API for developers to seamlessly add personalized ranking and recommendation into their products. These frictionless discovery experiences help end-users find what ...

Shaped

Senior Data Scientist

Brooklyn, NY · On-site +1

$100K - $150K/yr

Company Description Shaped is an API for developers to seamlessly add personalized ranking and recommendation into their products. These frictionless discovery experiences help end-users find what ...

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All JobsCompany Ranking JobsCompany Ranking Jobs in Newark, NJ

Company Ranking information

What are the job ranks?

Job ranks typically refer to levels within an organization, such as entry-level, mid-level, senior, and executive positions. These ranks help define responsibilities, experience requirements, and compensation. Advancement often depends on experience, performance, and additional qualifications or certifications.

What is the difference between Company Ranking vs Customer Service Representative?

AspectCompany RankingCustomer Service Representative
Required CredentialsTypically no formal credentials required; familiarity with company policies helpfulHigh school diploma or equivalent; communication skills essential
Work EnvironmentOffice or remote; focused on internal company data and performance metricsCall centers, retail, or office settings; direct interaction with customers
Employer & Industry UsageUsed internally by companies to assess performance and reputationCustomer-facing roles across retail, telecom, hospitality, and more

Company Ranking focuses on evaluating a company's performance and reputation, often through data analysis and internal metrics. Customer Service Representatives interact directly with customers to resolve issues and provide support. While both roles are essential in a business context, they serve different functions: one assesses company standing, the other enhances customer satisfaction.

What are the levels of positions in a company?

Company positions are typically organized into hierarchical levels such as entry-level, mid-level, senior, and executive roles. These levels reflect experience, responsibility, and skill requirements, with promotions often based on performance, tenure, and additional qualifications or certifications.

What are the top 5 positions in a company?

The top five positions in a company typically include the Chief Executive Officer (CEO), Chief Operating Officer (COO), Chief Financial Officer (CFO), Chief Technology Officer (CTO), and Chief Marketing Officer (CMO). These roles are responsible for strategic leadership, operations, finance, technology, and marketing, respectively. The specific hierarchy can vary depending on the company's size and industry.

What are the 7 levels of the job title hierarchy?

The seven levels of job title hierarchy typically include entry-level, junior, mid-level, senior, lead or supervisor, manager, and director or executive. These levels reflect increasing responsibility, skills, and experience, and are used across many organizations to structure career progression. Job titles may vary by industry and company size but generally follow this progression.
What job categories do people searching Company Ranking jobs in Newark, NJ look for? The top searched job categories for Company Ranking jobs in Newark, NJ are:
Company Ranking jobs near you
Infographic showing various Company Ranking job openings in Newark, NJ as of July 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, and 3% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution.

Machine Learning Engineer - Search, Ranking & Personalization

Fuku

New York, NY • On-site, Remote

$190K - $260K/yr

Full-time

Re-posted 26 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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