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

Finch Legal Inc

Machine Learning Engineer

Manhattan, NY · On-site +1

$180K - $280K/yr

As a Machine Learning Engineer at Finch, you'll own the full lifecycle of AI systems, from ... for a remote-first role - this one is 4 days/week in our NYC office. Compensation The expected ...

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 ...

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 ...

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 ...

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All JobsRemote Machine Learning JobsRemote Machine Learning Jobs in Orange, NJ

Remote Machine Learning information

See Orange, NJ salary details

$25.9K

$43.2K

$89.3K

How much do remote machine learning jobs pay per year?

As of Jun 15, 2026, the average yearly pay for remote machine learning in Orange, NJ is $43,207.00, according to ZipRecruiter salary data. Most workers in this role earn between $33,000.00 and $46,700.00 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.

Can I work remotely as a machine learning engineer?

Yes, many machine learning engineer roles are available for remote work, especially in companies that support flexible or distributed teams. Remote positions often require strong skills in programming, data analysis, and familiarity with tools like Python, TensorFlow, or PyTorch, along with good communication skills. However, some roles may require on-site presence for collaboration or access to specialized hardware.

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.

Which 5 jobs will survive AI?

Remote machine learning roles such as data scientists, AI researchers, machine learning engineers, AI product managers, and AI ethics specialists are expected to persist as AI advances. These jobs require specialized skills in programming, statistical analysis, and domain expertise that are difficult to fully automate. Continuous learning and proficiency in tools like Python, TensorFlow, or PyTorch are essential for these roles.

What engineers make $500,000?

Senior machine learning engineers with extensive experience, advanced skills in deep learning and data science, and often working in high-demand industries or at large tech companies can earn $500,000 or more annually. Compensation typically includes base salary, bonuses, and stock options, especially in competitive markets.

Are ML jobs in demand?

Machine Learning (ML) jobs are in high demand across various industries such as technology, finance, healthcare, and retail. The growth is driven by increasing adoption of AI solutions, data-driven decision making, and the need for expertise in programming, data analysis, and model deployment, making ML a promising career path.

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.

More about Remote Machine Learning jobs
What are the most commonly searched types of Machine Learning jobs in Orange, NJ? The most popular types of Machine Learning jobs in Orange, NJ are:
What cities near Orange, NJ are hiring for Remote Machine Learning jobs? Cities near Orange, NJ with the most Remote Machine Learning job openings:
Remote Machine Learning jobs near you

Machine Learning Engineer

Finch Legal Inc

Manhattan, NY • On-site, Remote

$180K - $280K/yr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 24 days ago

Job description

About Finch
We believe every American household deserves access to counsel in life's biggest moments. At Finch, we're building the infrastructure to make justice radically more accessible. Our modern approach to consumer law automates the admin work and puts clients first, starting with personal injury.
In just over a year, we've grown 10x, raised a $20M Series A, and become the pre-litigation partner of choice for top personal injury firms across the country. We believe the best outcomes happen when expert operators and purpose-built AI work together - which is why we handle every step of pre-lit, from intake and claim opening to medical records, lien management, and demands, with humans leading every case.
We're backed by Sequoia, Redpoint, and the founders & CEOs of generational companies like DoorDash, Ironclad, and Digits. We're rebuilding how the law serves everyday Americans from first principles, and we're hiring exceptional operators to help us scale it nationwide.
This Role
Legal work is buried in unstructured documents, repetitive workflows, and data that no existing system handles well - and we're building the AI to fix it. As a Machine Learning Engineer at Finch, you'll own the full lifecycle of AI systems, from prototype to production, working on problems where a single breakthrough can meaningfully change how law firms operate.
What You'll Do
This is a hands-on applied AI role where you'll build and ship production systems - not just run experiments. The scope will grow as our product and team do.
  • Build voice agents, browser agents, OCR pipelines, and LLM-powered workflows that work reliably in production.
  • Design rigorous evaluation frameworks and feedback loops to systematically improve model accuracy and reliability.
  • Own the full ML lifecycle - model selection, fine-tuning, prompt design, deployment, and monitoring.
  • Collaborate directly with product, ops, and legal experts to make sure the AI is solving the right problems.
  • Track emerging research and tools, and make deliberate calls about when to bring them into our stack.
Who We Have in Mind
This role is for engineers who care about outcomes over algorithms and are just as comfortable in production as they are in a notebook. Here's what that requires.
Must-Haves
  • 3+ years building and deploying production ML systems.
  • Strong Python skills and experience working across the ML stack end-to-end.
  • Hands-on experience with LLMs, prompt engineering, and evaluation design.
  • A track record of shipping observable, maintainable AI systems - not just prototypes.
Nice-to-Haves
  • Experience with NLP, OCR, speech, or agent frameworks (LangChain, OpenAI APIs, etc.).
  • Prior work at an early-stage startup where you helped define ML infrastructure from scratch.
  • Familiarity with legal tech, document-heavy workflows, or regulated industries.
This Role Might Not Be For You If
  • You prefer research or experimentation over owning systems in production.
  • You do your best work with a well-scoped problem and a stable, established ML platform.
  • You're looking for a remote-first role - this one is 4 days/week in our NYC office.
Compensation
The expected package for this role includes base salary + commission + equity.
  • Base salary = $180,000 - $280,000.
Benefits
  • 100% coverage for health, dental, and vision.
  • 401(k) retirement plan.
  • In-office snacks, drinks, and daily team lunches and dinners.
  • Flexible PTO (we trust you to take the time you need).

Interview Process
  1. Intro: An initial call to see if there's a mutual fit.
  2. Interview: An interview that typically involves a case assignment of sorts.
  3. Onsite: A visit to our NYC office to interview, meet the team, and have lunch.

At Finch Legal, we believe in practicing what we advocate.
As a company dedicated to upholding justice and protecting people in the workplace, we are equally committed to fostering a safe, inclusive, and equitable environment within our own walls. We welcome and support individuals from all backgrounds and lived experiences - regardless of race, ethnicity, gender identity, sexual orientation, religion, disability, or veteran status.
We recognize that diversity strengthens our team, enriches our perspectives, and empowers us to better serve our clients and communities. At Finch Legal, inclusion isn't just a value - it's a practice.

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