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Remote Deep Learning Engineer Jobs in Humble, TX

NobleAI

Lead Machine Learning Engineer

Houston, TX · Remote

$104K - $138K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Strong programming proficiency in Python (5+ years) and deep experience with core ML/NLP libraries ... Remote-first with co-working access at Industrious offices * 401(k) with employer match * Equity ...

NobleAI

Lead Machine Learning Engineer

Houston, TX · On-site +1

$97K - $128K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Strong programming proficiency in Python (5+ years) and deep experience with core ML/NLP libraries ... Remote-first with co-working access at Industrious offices * 401(k) with employer match * Equity ...

NobleAI

Lead Machine Learning Engineer

Houston, TX · On-site +1

$97K - $128K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Strong programming proficiency in Python (5+ years) and deep experience with core ML/NLP libraries ... Remote-first with co-working access at Industrious offices * 401(k) with employer match * Equity ...

Varsity Tutors

Machine Learning Tutor

Houston, TX · Remote

$18 - $40/hr

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

ICF

Senior Transmission Line Engineer - REMOTE

Houston, TX · Remote

$99K - $137K/yr

  • Retirement

Title: Senior Transmission Line Engineer Location: Remote US Ready to make a difference? We are ... Committed to continuous learning and process improvement, consistently seeking opportunities to ...

Crowe LLP

Senior AI Engineer

Houston, TX · On-site +1

$99K - $137K/yr

  • PTO

We offer unlimited PTO, a flexible remote work policy, and a supportive environment that ... Deep proficiency in Python, ML frameworks, and cloud-native engineering * Strong understanding of ...

IPT Global

Software Engineer

Houston, TX · On-site +1

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

We combine deep domain expertise with cutting-edge software development to deliver high-quality ... learning to drive technological progress and deliver lasting value to our customers. If you want to ...

Synthesis Health

Principal Platform Engineer

Houston, TX · Remote

  • Medical

  • Dental

  • Vision

  • PTO

Our 100% remote team is dedicated to a common goal - to revolutionize healthcare through innovation ... You will focus on solving deep, structural problems in the overall system to achieve 99.99 ...

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All JobsDeep Learning Engineer JobsRemote Deep Learning Engineer JobsRemote Deep Learning Engineer Jobs in Humble, TX

Remote Deep Learning Engineer information

See Humble, TX salary details

$9.5K

$72.4K

$120.9K

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

As of Aug 16, 2026, the average yearly pay for remote deep learning engineer in Humble, TX is $72,436.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,200.00 and $120,000.00 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?

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 job categories do people searching Remote Deep Learning Engineer jobs in Humble, TX look for?

The top searched job categories for Remote Deep Learning Engineer jobs in Humble, TX are:

What cities near Humble, TX are hiring for Remote Deep Learning Engineer jobs?

Cities near Humble, TX with the most Remote Deep Learning Engineer job openings:

Remote Deep Learning Engineer jobs near you

Machine Learning Guru (Autonomous Navigation)**

Talentry, LLC

Houston, TX • Remote

$200K - $300K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 19 days ago

Job description

Senior/Principal Machine Learning Engineer

200-300k

Remote position possible

Description

  • Develop solutions for autonomous driving, from experimentation to full commercialization.
  • Explore new ideas using deep learning, neural networks, and large foundation models.
  • Work on object detection, tracking, prediction, planning, control, online mapping, and more.
  • Manage the full life cycle of machine learning projects, including data analysis and model verification.
  • Collaborate with product, simulation, and algorithm teams to integrate machine learning technologies.

Qualifications

  • Advanced degree (Ph.D. or Master’s) in computer science, computer engineering, mathematics, physics, or related field.
  • In-depth knowledge and experience in machine learning and/or computer vision, employing bleeding-edge techniques.
  • Knowledge of generative models, model distillation, or model inference acceleration.
  • Familiarity with PyTorch, TensorFlow, and other machine learning platforms.
  • Ability to work independently in a fast-paced environment and collaborate on complex projects.
  • A track record of research publications in top conferences/journals is preferred.

Benefits

  • Work on cutting-edge autonomous navigation technology.
  • Opportunity to contribute to world-first innovations.
  • Vibrant and fast-paced work environment.
  • Exposure to cross-team projects and collaboration.
  • Chance to transform dreams into reality in the future of transportation.
  • Excellent salary and benefits – chance to get in on the ground floor!

** To apply, please answer all screening questions completely. Incomplete questionnaires will result in automatic rejection. **