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Remote Deep Learning Engineer Jobs in Middletown, NJ

Senior Staff Machine Learning Engineer

Brooklyn, NY · On-site +1

$109K - $150K/yr

You will apply state-of-the-art techniques, including hybrid retrieval, multi-tasking deep learning ... Remote candidates outside commutable distance may be considered on a case-by-case basis, with the ...

You will drive technical strategies that translate complex AI, Deep Learning and Machine Learning ... This US-based role can be remote or based out of our New York City office. AI Innovation at ...

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection, cross-validation, regularization, ensemble methods, dimensionality reduction, clustering, and deep ...

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection, cross-validation, regularization, ensemble methods, dimensionality reduction, clustering, and deep ...

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection, cross-validation, regularization, ensemble methods, dimensionality reduction, clustering, and deep ...

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection, cross-validation, regularization, ensemble methods, dimensionality reduction, clustering, and deep ...

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection, cross-validation, regularization, ensemble methods, dimensionality reduction, clustering, and deep ...

Showing results 21-40

Remote Deep Learning Engineer information

See Middletown, NJ salary details

$11.2K

$85.4K

$142.5K

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

As of Sep 12, 2026, the average yearly pay for remote deep learning engineer in Middletown, NJ is $85,362.00, according to ZipRecruiter salary data. Most workers in this role earn between $73,300.00 and $141,400.00 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 Middletown, NJ look for?

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

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

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

Infographic showing various Remote Deep Learning Engineer job openings in Middletown, NJ as of September 2026, with employment types broken down into 81% Full Time, and 19% Part Time. Highlights an 6% In-person, and 94% Remote job distribution, with an average salary of $85,362 per year, or $41 per hour.

Senior Staff Machine Learning Engineer

Brooklyn, NY • On-site, Remote

Etsy
Software Development • 5 - 10K employees

$109K - $150K/yr

Full-time

Re-posted 25 days ago


Key responsibilities

  • Research, architect, design, and operationalize AI/ML solutions to address customer problems and opportunities.

  • Collaborate with cross-functional teams to define and execute product and technical roadmaps for ML solutions.

  • Lead research and development in advanced AI, focusing on long-term research topics and industry innovation.


Job description

Company Description
Etsy is the global marketplace for unique and creative goods. We build, power, and evolve the tools and technologies that connect millions of entrepreneurs with millions of buyers around the world. As an Etsy employee, you will tackle unique, meaningful, and large-scale problems alongside passionate coworkers, all the while making a rewarding impact and Keeping Commerce Human.
We believe exceptional companies are built by exceptional teams, and we're intentional about it. That means hiring great people, setting them up for success from day one, and giving them real reasons to grow their careers here. We invest in development that goes beyond promotions, and we foster the trust and relationships that help people do their best work together.
What's the role?
We are looking for a Senior Staff Software Engineer, Machine Learning to be a pivotal technical leader in architecting the next generation of AI/ML models and systems that connect buyers and sellers across Etsy's platform.
In this highly influential role, you will define and lead the technical strategy for our core AI/ML solutions in Search, Recommendations, and Ads. You will apply state-of-the-art techniques, including hybrid retrieval, multi-tasking deep learning, Generative Recommendations, and Agentic shopping experiences to create a cohesive, highly personalized customer journey for over 85 million buyers and over 5 million sellers.
Do you have a passion for designing and implementing strategies for a holistic AI/ML ecosystem? Are you excited by the challenge of leading research initiatives and building advanced algorithms at a global scale? Are you motivated to mentor engineers and shape the future state of the industry? If so, this could be the perfect match.
This is a full-time position reporting to the Engineering leadership within Search, Recommendations, and Ads.
What's this team like at Etsy?
The Search, Recommendations, and Ads organization is at the heart of Etsy's marketplace, responsible for the algorithms that power discovery and connection. We are a team of researchers, engineers, and data scientists dedicated to solving the complex problems of matching unique, handmade items with the right buyers.
Our technical environment is evolving rapidly. We are moving toward more sophisticated generative and agentic experiences, requiring a blend of deep research and robust software engineering. We focus on mid-to-long-term research topics while ensuring our models remain high-performance and scalable.
We are proud of our engineering culture that encourages career growth and learning in a blameless environment. You can learn more about our philosophies, tools, and some of the challenges we've been solving on our Engineering blog.
What does the day-to-day look like?
  • Identify customer problems and opportunities; lead teams to research, architect, design, and operationalize AI/ML solutions.
  • Collaborate closely with cross-functional leaders to define and execute a compelling product and technical roadmap for ML solutions.
  • Drive cross-functional technical alignment and execution across various engineering teams.
  • Lead R&D in advanced AI, with a major focus on mid/long-term research topics that push the boundaries of the industry.
  • Provide technical leadership and mentorship to grow the skills and capabilities of engineers across the entire organization.
  • Apply a disciplined, data-driven approach to technical decision-making and experimentation.
  • Of course, this is just a sample of the kinds of work this role will require! You should assume that your role will encompass other tasks, too, and that your job duties and responsibilities may change from time to time at Etsy's discretion, or otherwise applicable with local law.

Qualities that will help you thrive are:
  • 10+ years of progressive experience in ML and AI, with a proud track record of building large-scale, high-performance models and systems.
  • Deep experience with the end-to-end development lifecycle of ML/AI, focusing on both large-scale model training and serving.
  • A foundational and practical understanding of machine learning principles and the critical steps required to successfully productionize models at scale.
  • Proficiency with modern data processing frameworks (e.g., Spark, Beam, Hadoop) and ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
  • Exceptional ability to define and solve highly ambiguous or unconstrained technical problems, knowing when to strategically seek assistance.
  • A proven track record of successfully collaborating with engineers, leaders, and product managers to drive complex projects to completion.
  • A demonstrated commitment to supporting and mentoring other engineers, elevating the technical capability of the organization.

Compensation & Benefits
In addition to salary, you'll be eligible for an equity package, an annual performance bonus, and our competitive benefits that support you and your family. Base salary is determined by your location, skills, and experience.
Etsy uses two geographic pay zones to reflect the labor markets where we compete for talent: one called Geo-1, covering the New York City metropolitan area, San Francisco Bay Area, and Seattle metropolitan area, and one called Geo-2, covering all other U.S. locations. Salary ranges for this role vary by zone and are listed below.
Location
We prioritize candidates based within commutable distance of Etsy's Brooklyn Office. Depending on proximity, we ask team members to come in once or twice per week. Remote candidates outside commutable distance may be considered on a case-by-case basis, with the expectation of occasional travel to the office. Learn more details about our work modes and workplace safety policies here.
Salary Range:
• Geo-1: 258,000.00 - 350,000.00 USD Annual• Geo-2: 233,000.00 - 315,000.00 USD Annual
What's Next
If you're interested in joining the team at Etsy, please share your resume with us and feel free to include a cover letter if you'd like. As we hope you've seen already, Etsy is a place that values individuality and variety. We don't want you to be like everyone else -- we want you to be like you! So tell us what you're all about.
Our Promise
At Etsy, we believe that a diverse, equitable, and inclusive workplace furthers relevance, resilience, and longevity. We encourage people from all backgrounds, ages, abilities, and experiences to apply. Etsy is proud to be an equal opportunity workplace and is committed to equal employment opportunity regardless of race, color, ethnicity, ancestry, national origin, religion or creed, sex, pregnancy (including childbirth and related medical conditions), gender, gender identity or expression, sexual orientation, age, citizenship or immigration status, marital or familial status, physical or mental disability, medical condition, genetic information, military or veteran status**, or any other characteristic protected by applicable federal, state, or local law**. If, due to a disability, you need an accommodation during any part of the interview or hiring process, please let your recruiter know and we will work with you to meet your needs. While Etsy supports visa sponsorship, sponsorship opportunities may be limited to certain roles and skills.