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Remote Deep Learning Engineer Jobs in Freehold, NJ

YO AI Labs

Senior Software Engineer - Remote

New York, NY · Remote

$134K - $176K/yr

Deep understanding of algorithms, data structures, and performance tuning. * Demonstrated ... Familiarity with modern AI or machine learning systems is a plus, though not required. * Background ...

C the Signs

AI Data Engineer

New York, NY · On-site +1

$125K - $150K/yr

... learning engineers. This role requires a deep understanding of data engineering best practices ... Flexible working arrangements (remote or hybrid options available). * The opportunity to work on ...

C the Signs

AI Data Engineer

New York, NY · Remote

$117K - $140K/yr

... learning engineers. This role requires a deep understanding of data engineering best practices ... Flexible working arrangements (remote or hybrid options available). * The opportunity to work on ...

1 point system

Senior Data Scientist

New York, NY · Remote

Expertise in building machine learning models, including supervised, unsupervised, and deep learning methods. * Expertise in feature engineering, model evaluation, and hyperparameter tuning.

OpenX

Staff Data Scientist

New York, NY · On-site +1

  • Medical

  • Dental

  • Vision

  • Retirement

... with engineering and product leaders on data-driven strategy. Problems at this level include ... Serve as a go-to expert in deep learning and related advanced data science domains, with the ...

OpenX

Staff Data Scientist

New York, NY · Remote

$195K - $218K/yr

... with engineering and product leaders on data-driven strategy. Problems at this level include ... Serve as a go-to expert in deep learning and related advanced data science domains, with the ...

Zenlaw

Data Scientist (Remote)

New York, NY · On-site +1

... deep learning models * Exceptional skills in Python, SQL, and any other programming language for ... Due to the remote nature of this role, we are unable to provide visa sponsorship.

B Lab

Junior Data Engineer (New York, NY)

New York, NY · On-site +1

$62K - $83K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

While this is a remote-first opportunity, the candidate filling this role must be a resident of ... You will absorb data engineering work currently split between the Senior Machine Learning Engineer ...

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All JobsDeep Learning Engineer JobsRemote Deep Learning Engineer JobsRemote Deep Learning Engineer Jobs in Freehold, NJ

Remote Deep Learning Engineer information

See Freehold, NJ salary details

$11K

$84K

$140.2K

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

As of Aug 18, 2026, the average yearly pay for remote deep learning engineer in Freehold, NJ is $84,014.00, according to ZipRecruiter salary data. Most workers in this role earn between $72,100.00 and $139,200.00 per year, depending on experience, location, and employer.

What is a remote deep learning engineer?

A Remote Deep Learning Engineer is a professional who works primarily online to design, develop, and implement deep learning models and algorithms. These engineers use neural networks and large datasets to solve complex problems in fields like computer vision, natural language processing, and more. Working remotely, they collaborate with team members via digital tools, write code, optimize models, and often deploy solutions to cloud environments. This role requires strong programming skills, experience with deep learning frameworks (like TensorFlow or PyTorch), and the ability to work independently in a distributed team setting.

What are the key skills and qualifications needed to thrive as a remote deep learning engineer?

To thrive as a Remote Deep Learning Engineer, you need a strong background in machine learning, deep learning frameworks, and programming languages like Python, usually supported by a degree in computer science or a related field. Familiarity with tools such as TensorFlow, PyTorch, cloud platforms (e.g., AWS, GCP), and version control systems is typically required, with certifications in AI or cloud technologies being advantageous. Excellent problem-solving, communication, and self-management skills make candidates stand out in remote environments. These skills and qualities are essential for developing effective AI solutions, collaborating across distributed teams, and driving innovation in the fast-evolving field of deep learning.

How do remote deep learning engineers typically collaborate with cross-functional teams despite working remotely?

Remote Deep Learning Engineers frequently collaborate with data scientists, product managers, and software engineers using digital tools such as Slack, Zoom, and collaborative code platforms like GitHub. Regular virtual meetings and sprint planning sessions help ensure alignment on project goals and milestones. Clear documentation and asynchronous communication are crucial for effective teamwork, especially when team members are in different time zones. This collaborative structure enables remote engineers to contribute meaningfully to model development, deployment, and integration while maintaining flexibility.

What is the difference between Remote Deep Learning Engineer vs Remote Machine Learning Engineer?

AspectRemote Deep Learning EngineerRemote Machine Learning Engineer
Required CredentialsBachelor's/Master's in CS, AI, or related; experience with deep learning frameworksBachelor's/Master's in CS, Data Science, or related; experience with ML algorithms
Work EnvironmentResearch and development, model training, neural network designData analysis, model deployment, algorithm development
Employer & Industry UsageTech companies, AI startups, research institutionsTech firms, finance, healthcare, e-commerce

Remote Deep Learning Engineers focus on designing and training neural networks for complex AI tasks, while Remote Machine Learning Engineers work on broader ML models and algorithms. Both roles require strong programming skills and knowledge of machine learning frameworks, but Deep Learning Engineers specialize in neural networks and large-scale data processing.

What job categories do people searching Remote Deep Learning Engineer jobs in Freehold, NJ look for?

The top searched job categories for Remote Deep Learning Engineer jobs in Freehold, NJ are:

What cities near Freehold, NJ are hiring for Remote Deep Learning Engineer jobs?

Cities near Freehold, NJ with the most Remote Deep Learning Engineer job openings:

Remote Deep Learning Engineer jobs near you

Lead Machine Learning Scientist, New AI Products and Platforms

The New York Times

New York, NY • On-site, Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 11 days ago

Job description

About the Role, Mission or Department Overview

The New York Times is hiring a Lead Machine Learning Scientist to join the New A.I. Products & Platforms mission. We are a team building the next generation of reader-facing A.I. experiences for one of the world's most trusted news organizations.

You will provide technical leadership to a team of ML scientists developing embedding models and semantic retrieval algorithms to power new A.I. experiences across our products. Your work will allow teams across the company to build, deploy, and manage applications that use large language models to promote our journalism and our business. Your team will design and train embedding models for representation learning and fine-tune language models for custom use cases and content enrichment. You will report to our Director, Machine Learning. This is a hybrid remote/in-office role.

Responsibilities:

  • You will lead the design and training of embedding models for representation learning, for example using transformer encoders and Two Tower architectures.
  • You will lead the fine-tuning, adaptation, and evaluation of language models for custom product use cases and content enrichment, including information extraction from Times content at scale
  • You will productionalize embedding models and language models while working closely with engineering teams, to integrate ML and AI into user-facing products throughout The Times
  • You will help to define shared practices around evaluation, responsible A.I. use, and what "good" is inside an organization where judgment and independence are important
  • You will identify novel project opportunities to solve critical problems and act on those proposals
  • You will scope ongoing product improvements, prioritizing requests from your team
  • You will build and facilitate relationships across the organization to ensure you meet our projects' goals.
  • Demonstrate support and understanding of our value of journalistic independence and a strong commitment to our mission to seek the truth and help people understand the world.

Basic Qualifications:

  • PhD plus 4+ years experience, or 7+ years experience, in machine learning, statistics, computer science, computational social science, or another quantitative/computational discipline
  • 4+ years of experience in creatively reframing our challenges as Machine Learning tasks
  • 4+ years of experience with data cleaning, preparation, feature engineering, and model selection techniques
  • 2+ years of experience coding and deploying in production environments using Python, developing and deploying complex algorithms that are integrated into company process
  • 2+ years of experience building production systems that use LLMs, vision-language models, graph neural networks, or other deep learning models to solve user-facing problems
  • 1+ years of experience mentoring peers or junior ML scientists through pairing and algorithm, model, and code review

Preferred Qualifications:

  • PhD or Master's research experience in Applied AI
  • 1+ years of experience with information retrieval or search systems
  • 2+ years of experience collaborating cross-functionally with product managers and software engineers
  • 2+ years of experience scoping and staging work into well-defined milestones and delivering on communicated timelines

REQ-020336

Compensation and Benefits For This Role:

In addition to base salary, this role is also eligible for variable pay, such as an annual bonus and restricted stock. Benefits include medical, dental and vision benefits, Flexible Spending Accounts (F.S.A.s), a company-matching 401(k) plan, employee stock purchase plan, paid vacation, paid sick days, paid parental leave, tuition reimbursement and professional development programs. 

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