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Remote Deep Learning Engineer Jobs in New York (NOW HIRING)

Autodesk

Senior Machine Learning Engineer

New York, NY · On-site +1

$114K - $157K/yr

This role is currently open to remote work. Candidates must be located near one of our hub ... Train, adapt, and improve machine learning models, including classical ML models, deep learning ...

Career Renew

Senior Machine Learning Engineer

New York, NY · Remote

$165K - $225K/yr

... remote role for US/Canada based candidates. Salary range: 165-225K USD yearly plus benefits plus ... The ideal candidate will have deep expertise in Machine Learning and building generalizable ...

Headspace

Staff Machine Learning Engineer

New York, NY · On-site +1

$179K - $224K/yr

... deep learning, reinforcement learning, LLM orchestration, RAG systems. * 3+ years of experience ... City, NY (remote), and Seattle, WA (remote). Candidates must permanently reside in the US ...

Alignerr

Machine Learning Engineer

Manhattan, NY · Remote

$154K/yr

Machine Learning Engineer (AI Data Trainer) About the Role What if your machine learning expertise ... Remote * Commitment : 10-40 hours/week What You'll Do * Construct precise, well-structured ...

Headspace

Principal Machine Learning Engineer

New York, NY · On-site +1

$207K - $258K/yr

... deep learning, reinforcement learning, LLM orchestration, RAG systems. * 5+ years of experience ... City, NY (remote), and Seattle, WA (remote). Candidates must permanently reside in the US ...

Orita

Senior Machine Learning Engineer

New York, NY · On-site +1

$180K - $250K/yr

Deep knowledge of modern machine learning algorithms (tree-based methods, deep learning ... Feature engineering using aggregations, embeddings, and sub-models. * MLOps & Cloud : * Track ...

Inizio Partners

Machine Learning Engineer (GCP)

Manhattan, NY · Remote

$58.25 - $79.75/hr

Location- Remote Overview: As a GCP ML Engineer, you'll design, develop, and maintain machine learning pipelines and infrastructure on the Google Cloud Platform (GCP). You'll work closely with data ...

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All JobsDeep Learning Engineer JobsRemote Deep Learning Engineer JobsRemote Deep Learning Engineer Jobs in New York

Remote Deep Learning Engineer information

See New York salary details

$12K

$91.8K

$153.2K

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

As of Jun 12, 2026, the average yearly pay for remote deep learning engineer in New York is $91,774.00, according to ZipRecruiter salary data. Most workers in this role earn between $78,800.00 and $152,100.00 per year, depending on experience, location, and employer.

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 are the key skills and qualifications needed to thrive as a Remote Deep Learning Engineer, and why are they important?

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.

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 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 most commonly searched types of Deep Learning Engineer jobs in New York? The most popular types of Deep Learning Engineer jobs in New York are:
What are popular job titles related to Remote Deep Learning Engineer jobs in New York? For Remote Deep Learning Engineer jobs in New York, the most frequently searched job titles are:
What job categories do people searching Remote Deep Learning Engineer jobs in New York look for? The top searched job categories for Remote Deep Learning Engineer jobs in New York are:
What cities in New York are hiring for Remote Deep Learning Engineer jobs? Cities in New York with the most Remote Deep Learning Engineer job openings:
Remote Deep Learning Engineer jobs near you

Senior Machine Learning Engineer

SW5 Consulting

New York, NY • Remote

$180K - $250K/yr

Full-time

Posted 28 days ago

Job description

Senior Machine Learning Engineer


Location: Remote (U.S.) or New York City


Compensation: $180K – $250K + Equity


Employment Type: Full-time


About Us

We’re building cutting-edge AI solutions that help some of the world’s most recognizable brands connect with their customers in smarter, more meaningful ways. Our technology predicts who to reach, when to reach them, and through which channel—maximizing engagement and driving profitable growth.


The Role


As a Senior Machine Learning Engineer, you’ll be at the heart of our product innovation. You will:

  • Design, train, and deploy ML models that power marketing personalization at scale.
  • Build robust MLOps pipelines for training, serving, and monitoring models in production.
  • Experiment and optimize using A/B testing, uplift modeling, and causal inference.
  • Collaborate with leadership and cross-functional teams, mentoring others and shaping best practices.


What We’re Looking For

  • 5+ years in software engineering, with 3+ years in ML systems.
  • Experience with GCP, specifically in Vertex AI and / or Kubeflow
  • Expertise in modern ML algorithms (tree-based methods, deep learning, transformers).
  • Hands-on experience with PyTorch, TensorFlow, XGBoost.
  • Strong Python skills and familiarity with Spark, Ray, BigQuery, Airflow.
  • Experience with MLOps, CI/CD, containerization (Docker/Kubernetes), and cloud platforms (GCP preferred).
  • Comfort with advanced experimentation techniques and performance measurement.


Bonus Points

  • Background in marketing tech or ad tech.
  • Experience with LLMs, reinforcement learning, or bandit algorithms.
  • Familiarity with causal inference and uplift modeling.
  • Startup experience and ability to thrive in a fast-paced environment.


Why Join Us?

  • Impact: Your work will directly shape how leading brands engage millions of customers.
  • Growth: Collaborate with industry veterans and learn from the best.
  • Innovation: Experiment with cutting-edge ML models and infrastructure.
  • Culture: We value ownership, iteration, and continuous learning—your voice matters.


This role is a fully remote role but you MUST be based in US and eligible to work without sponsor. Bonus points if you can occasionally get to New York. The position will pay $200-250k + equity