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Remote Machine Learning Jobs in Bridgewater, NJ (NOW HIRING)

Career Renew

Senior Machine Learning Engineer

New York, NY · Remote

$165K - $225K/yr

Career Renew is recruiting for one of its clients a Senior Machine Learning Engineer - this is a fully remote role for US/Canada based candidates. Salary range: 165-225K USD yearly plus benefits plus ...

Mercor

Senior Machine Learning Engineer

New York, NY · Remote

$70 - $100/hr

Remote Commitment: 40 hours/week Role Responsibilities * Guide research and engineering teams to ... experience in Machine Learning , Data Science , Software Engineering , Computer Science ...

Etsy

Senior Staff Machine Learning Engineer

New York, NY · On-site +1

$245K - $319K/yr

This position will be in Brooklyn, NY or for remote candidates based in the United States. Etsy is ... A foundational and practical understanding of machine learning principles and the critical steps ...

SeatGeek

Senior Machine Learning Engineer

New York, NY · On-site +1

$145K - $209K/yr

You enjoy working with a diverse group of people with different experiences and take pride in mentoring and learning from others Our stack You do not need experience with all of these, but we thought ...

Uber

Senior Machine Learning Engineer - Ads

New York, NY · On-site +1

The Ads Machine Learning (Ads ML) team at Uber is responsible for providing relevant ad recommendations to the users across the different applications within the Uber ecosystem. We focus on building ...

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All JobsMachine Learning JobsRemote Machine Learning JobsRemote Machine Learning Jobs in Bridgewater, NJ

Remote Machine Learning information

See Bridgewater, NJ salary details

$26.1K

$43.5K

$90K

How much do remote machine learning jobs pay per year?

As of Jun 10, 2026, the average yearly pay for remote machine learning in Bridgewater, NJ is $43,530.00, according to ZipRecruiter salary data. Most workers in this role earn between $33,200.00 and $47,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote Machine Learning Engineer, and why are they important?

To thrive as a Remote Machine Learning Engineer, you need a strong background in mathematics, statistics, programming (often Python), and experience with machine learning frameworks, typically supported by a relevant degree. Familiarity with tools such as TensorFlow, PyTorch, cloud platforms (like AWS or GCP), and version control systems is crucial. Strong problem-solving abilities, self-management, and effective virtual communication distinguish top performers in remote settings. These competencies ensure the engineer can build effective models, collaborate across distributed teams, and deliver impactful solutions independently.

What Are Remote Machine Learning Jobs?

Machine learning is a method of analyzing data via automating analytical model building. The premise is that systems can learn from data. Machine learning positions include machine learning engineer, computer vision engineer, and senior deep learning engineer. In a remote machine learning job, you work from home in a branch of artificial intelligence performing duties related to computational processing and data. Your goal is to design models that solve business problems, such as helping organizations avoid unknown risks or find profitable opportunities. Your responsibilities include maintaining data pipelines, performing model research and implementation, building machine learning systems, and onboarding new utilities.

What is a remote machine learning job?

A remote machine learning job involves working with algorithms, data, and models to develop predictive systems or automate tasks, all while working from a location outside of a traditional office setting. Professionals in this role use techniques from statistics and computer science to analyze data, train machine learning models, and deploy solutions for real-world applications. Remote machine learning jobs can span various industries, including technology, healthcare, finance, and e-commerce. These roles typically require strong programming skills, knowledge of machine learning frameworks, and the ability to communicate findings effectively with team members or stakeholders. Working remotely offers flexibility, but also requires discipline and self-motivation to succeed.

What are some effective strategies for collaborating with team members while working remotely as a Machine Learning Engineer?

Collaboration in a remote Machine Learning role often relies on clear communication through digital tools such as Slack, Zoom, and project management platforms like Jira or Asana. Regular check-ins and stand-up meetings help keep everyone aligned on project goals and timelines. Sharing code and models via version control systems (like Git) and using collaborative notebooks (such as JupyterHub or Google Colab) are also common practices. Building strong documentation habits and proactively seeking feedback can help ensure smooth teamwork and project success, even across different time zones.

What is the difference between Remote Machine Learning vs Data Scientist?

AspectRemote Machine LearningData Scientist
Required CredentialsBachelor's/Master's in CS, ML certificationsBachelor's/Master's in CS, Statistics, or related field
Work EnvironmentRemote, collaborative teams, tech companiesRemote or on-site, diverse industries, analytics focus
Industry UsageTech, AI startups, researchFinance, healthcare, e-commerce, tech
Search & Comparison IntentOften compared for technical roles in AI/MLBroader data analysis roles, but overlapping skills

Remote Machine Learning specialists focus on developing algorithms and models primarily in tech environments, often requiring advanced programming and ML knowledge. Data Scientists analyze data to extract insights, sometimes utilizing ML techniques. While both roles share skills and credentials, Remote Machine Learning emphasizes model development, whereas Data Scientists focus on data analysis and interpretation.

Is ML full of coding?

Machine Learning (ML) roles often involve significant coding, especially in programming languages like Python or R, to develop algorithms and models. However, some positions focus more on data analysis, feature engineering, or model evaluation, which may require less coding but still involve technical skills and understanding of ML concepts.
More about Remote Machine Learning jobs
What are popular job titles related to Remote Machine Learning jobs in Bridgewater, NJ? For Remote Machine Learning jobs in Bridgewater, NJ, the most frequently searched job titles are:
What cities near Bridgewater, NJ are hiring for Remote Machine Learning jobs? Cities near Bridgewater, NJ with the most Remote Machine Learning job openings:
Remote Machine Learning jobs near you

Machine Learning Engineer - Search, Ranking & Personalization

Fuku

New York, NY • On-site, Remote

$190K - $260K/yr

Full-time

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

    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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