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Remote Machine Learning Engineer Jobs in Butler, NJ

Career Renew

Senior Machine Learning Engineer

Manhattan, NY · Remote

$115.20K - $158.20K/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 ...

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 ...

PLAID

Senior Machine Learning Engineer - Credit

Manhattan, NY · On-site +1

$115.20K - $158.20K/yr

We're looking for machine learning engineers with experience applying state-of-the-art machine learning and modeling techniques, including natural language processing, anomaly detection, optimization ...

Nexxen

Senior Machine Learning Engineer

Manhattan, NY · On-site +1

$180K - $220K/yr

Sr. Machine Learning Engineer Flexible advertising, unified by data. Nexxen empowers advertisers, agencies, publishers, and broadcasters around the world to utilize data and advanced TV in the ways ...

S&P Global

Principal Machine Learning Engineer

New York, NY · Remote

$165K - $210K/yr

We are seeking an exceptional Principal Machine Learning Engineer to join our organization at the forefront of applied AI. This is a senior individual contributor role designed for a practitioner who ...

Spgi

Principal Machine Learning Engineer

New York, NY · Remote

$165K - $210K/yr

We are seeking an exceptional Principal Machine Learning Engineer to join our organization at the forefront of applied AI. This is a senior individual contributor role designed for a practitioner who ...

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Remote Machine Learning Engineer information

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$31.7K

$129.7K

$194.9K

How much do remote machine learning engineer jobs pay per year?

As of Jun 1, 2026, the average yearly pay for remote machine learning engineer in Butler, NJ is $129,687.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,200.00 and $156,100.00 per year, depending on experience, location, and employer.

What is a Remote Machine Learning Engineer job?

A Remote Machine Learning Engineer designs, develops, and deploys machine learning models while working from a remote location. They preprocess data, train and optimize models, and integrate them into production systems. Their role often involves collaborating with data scientists, software engineers, and stakeholders to solve complex problems using AI. Strong programming skills in Python, experience with ML frameworks like TensorFlow or PyTorch, and cloud computing knowledge are essential. Remote ML engineers must also communicate effectively and manage their time efficiently to work asynchronously with teams.

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

To thrive as a Remote Machine Learning Engineer, you need a strong background in computer science, mathematics, and experience with machine learning algorithms, typically supported by a relevant degree and prior project work. Proficiency with programming languages like Python, machine learning frameworks such as TensorFlow or PyTorch, and familiarity with cloud computing platforms is crucial, and certifications like AWS Certified Machine Learning can enhance your profile. Excellent communication, self-motivation, and time-management skills are also essential for collaborating across remote teams and meeting project goals. These combined technical and soft skills are vital for developing effective machine learning solutions while ensuring productivity and collaboration in a virtual work environment.

What are some typical challenges faced by Remote Machine Learning Engineers, and how are they addressed?

Remote Machine Learning Engineers often face challenges such as coordinating across different time zones, ensuring smooth communication with team members, and accessing large datasets or secure environments remotely. Organizations commonly address these by using robust collaboration tools (like Slack, GitHub, and Jira), establishing clear documentation, and setting regular virtual meetings to maintain alignment. Many companies also provide secure remote environments or VPN access for handling sensitive data and code. Proactive communication and organized workflows help mitigate these challenges, enabling engineers to remain productive and connected to their teams.
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What cities near Butler, NJ are hiring for Remote Machine Learning Engineer jobs? Cities near Butler, NJ with the most Remote Machine Learning Engineer job openings:
Remote Machine Learning Engineer jobs near you

Machine Learning Engineer - Search, Ranking & Personalization

Fuku

Manhattan, NY • On-site, Remote

$190K - $260K/yr

Other

Posted 23 days ago

Job description

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

  • Location: New York, NY / San Francisco, CA (Remote OK)
  • Employment Type: Full-Time
  • Experience Level: 3+ years
  • Salary Range: $190,000 – $260,000 per year
  • Equity: Competitive equity package
  • 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
  • Design, train, and deploy large-scale search, ranking, and personalization models.
  • Handle hundreds of millions of items daily with high performance and reliability.
  • Collaborate closely with backend and infrastructure teams to integrate ML models into production (GraphQL, Prisma, Node.js, Python, gRPC/Protobuf).
  • Continuously improve model accuracy and system scalability.
  • Contribute to product direction and technical roadmap for Client's ML systems.

---
Requirements
Must-Have Qualifications:
  • Minimum of 3+ years professional experience building and deploying ML models in production.
  • Proven experience with ranking, recommendation, or personalization systems.
  • Proficiency in PyTorch and large-scale data processing for real-time inference.
  • Strong backend integration experience (GraphQL, Prisma, Node.js, Python, gRPC/Protobuf).
  • Willingness to work in a high-intensity, fast-paced startup environment.
  • Based in New York or remote in San Francisco.

Preferred Background:
  • Current or prior experience at companies like DoorDash, Etsy, Pinterest, Amazon, or eBay.
  • Previous work on consumer-facing search or recommendation products.

---
Benefits & Perks
  • $190K–$260K base salary plus competitive equity.
  • Direct impact on a core product with a massive, high-retention user base.
  • Work alongside top-tier engineers from leading consumer tech companies.
  • Fast-paced startup culture with rapid iteration and experimentation.
  • Opportunity 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:
  • Experience solving large-scale consumer search/ranking challenges (e.g., Pinterest, Meta, TikTok, Amazon Ads).
  • Strong track record shipping high-impact ML features in consumer products.
  • Early-stage or startup experience with end-to-end ownership of ML pipelines.
  • Demonstrated “builder” mindset — side projects, prototypes, hackathon wins.
  • High intrinsic motivation and interest in future entrepreneurship.

Red Flags:
  • Primarily B2B search experience with limited data complexity.
  • Research-only background without production deployment.
  • Prefers management over hands-on technical work.
  • Struggles with ambiguity or high-intensity work environments.
  • Unwilling to relocate or adapt to NYC-based team culture.

---
Ideal Companies
  • Amazon
  • eBay
  • Pinterest
  • DoorDash
  • Etsy

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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