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Remote Biomedical Machine Learning Jobs in Teaneck, NJ

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 ...

Etsy

Senior Staff Machine Learning Engineer

Brooklyn, 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 ...

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All JobsRemote Biomedical Machine Learning JobsRemote Biomedical Machine Learning Jobs in Teaneck, NJ

Remote Biomedical Machine Learning information

See Teaneck, NJ salary details

$16

$31

$42

How much do remote biomedical machine learning jobs pay per hour?

As of Jun 17, 2026, the average hourly pay for remote biomedical machine learning in Teaneck, NJ is $31.45, according to ZipRecruiter salary data. Most workers in this role earn between $26.78 and $35.53 per hour, depending on experience, location, and employer.

What are some unique challenges faced when working remotely as a Biomedical Machine Learning professional, and how can they be addressed?

Remote Biomedical Machine Learning professionals often face challenges related to accessing large and sensitive datasets, ensuring compliance with data privacy regulations, and maintaining effective communication with interdisciplinary teams such as clinicians and researchers. To address these, it's important to become familiar with secure data transfer protocols, collaborate closely with IT and compliance officers, and utilize robust project management and communication tools. Regular virtual meetings and clear documentation can help bridge gaps and ensure alignment on project goals.

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

Thriving in Remote Biomedical Machine Learning requires expertise in machine learning, data analysis, and a strong background in biomedical sciences, often supported by an advanced degree in a related field. Proficiency with programming languages such as Python or R, experience with frameworks like TensorFlow or PyTorch, and familiarity with medical data systems are typically necessary. Excellent problem-solving skills, communication abilities, and self-motivation are standout soft skills for remote collaboration and research. These competencies are vital to effectively develop innovative biomedical solutions, ensure data integrity, and drive impactful research in a distributed work environment.

What are remote biomedical machine learning jobs?

Remote biomedical machine learning jobs involve applying machine learning and artificial intelligence techniques to biomedical data, such as medical images, genetic information, or clinical records, while working from a remote location. Professionals in these roles develop algorithms to assist in disease diagnosis, drug discovery, or patient outcome prediction. These jobs typically require strong programming skills, experience with data science tools, and a background in biomedical sciences or related fields. Remote positions offer flexibility and the ability to collaborate with interdisciplinary teams from anywhere in the world.

What is the difference between Remote Biomedical Machine Learning vs Remote Biomedical Data Analyst?

AspectRemote Biomedical Machine LearningRemote Biomedical Data Analyst
Required CredentialsMaster's or PhD in Bioinformatics, Data Science, or related fields; experience with ML frameworksBachelor's or Master's in Biology, Data Analysis, or related; proficiency in data visualization and statistical tools
Work EnvironmentCollaborative remote teams, research labs, tech companiesRemote healthcare organizations, research institutions, biotech firms
Employer & Industry UsageTech companies, biotech startups, research institutionsHospitals, healthcare providers, pharmaceutical companies

Remote Biomedical Machine Learning specialists focus on developing algorithms and models to analyze biomedical data, often requiring advanced degrees and programming skills. In contrast, Remote Biomedical Data Analysts interpret and visualize biomedical datasets, typically with a focus on statistical analysis. Both roles are vital in healthcare and biotech industries but differ in technical depth and responsibilities.

What job categories do people searching Remote Biomedical Machine Learning jobs in Teaneck, NJ look for? The top searched job categories for Remote Biomedical Machine Learning jobs in Teaneck, NJ are:
What cities near Teaneck, NJ are hiring for Remote Biomedical Machine Learning jobs? Cities near Teaneck, NJ with the most Remote Biomedical Machine Learning job openings:
Remote Biomedical Machine Learning jobs near you

Machine Learning Engineer - Search, Ranking & Personalization

Fuku

New York, NY • On-site, Remote

$190K - $260K/yr

Full-time

Posted 10 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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