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Remote Machine Learning Architect Jobs in Houston, TX

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Senior/Principal Machine Learning Engineer 200-300k Remote position possible Description * Develop solutions for autonomous driving, from experimentation to full commercialization. * Explore new ...

AI System Architect

Houston, TX · On-site +1

$232K/yr

AI System Architect This role has been designated as 'Remote/Teleworker', which means you will ... HPC & AI Business Unit - AI System Architect Distinguished Technologist. - AI & Machine Learning ...

Job Summary Senior Solutions Architect- REMOTE TeemaGroup Contract, Full-time - Temp to Hire Remote ... FHIR Study Program and Skillsoft Learning * Super HAPI Fun Club Responsibilities: * Lead ...

Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted ... The Power BI Architect will lead the design, strategy, and governance of the enterprise BI platform ...

Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted ... The Power BI Architect will lead the design, strategy, and governance of the enterprise BI platform ...

Industry X Advisor - Technical Architect

Houston, TX · On-site +1

$63.25 - $76.50/hr

Role Overview As a Technical Architect, you'll be a Subject Matter Expert and responsible for ... Machine Learning models. In particular, existing Factory Agents & Analytics (Manufacturing Data ...

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Remote Machine Learning Architect information

See Houston, TX salary details

$44.4K

$123K

$192.4K

How much do remote machine learning architect jobs pay per year?

As of Jul 25, 2026, the average yearly pay for remote machine learning architect in Houston, TX is $122,958.00, according to ZipRecruiter salary data. Most workers in this role earn between $86,900.00 and $158,500.00 per year, depending on experience, location, and employer.

How does a Remote Machine Learning Architect typically collaborate with distributed teams to deliver successful projects?

As a Remote Machine Learning Architect, effective collaboration with globally distributed teams is essential. You will often coordinate with data scientists, software engineers, and business stakeholders via virtual meetings, shared documentation, and project management tools. Regular communication, clear documentation of model designs, and version control practices are crucial to ensure alignment and smooth integration of machine learning solutions. Adopting agile methodologies and being proactive in addressing time zone differences help maintain project momentum and foster a productive team environment.

What is the difference between Remote Machine Learning Architect vs Data Scientist?

AspectRemote Machine Learning ArchitectData Scientist
Required CredentialsMaster's or PhD in CS, AI, or related fields; certifications in ML frameworksMaster's in Data Science, Statistics, or related; certifications in data analysis tools
Work EnvironmentDesigning ML systems, collaborating with engineering teams, remote or on-siteAnalyzing data, building models, often remote or in-office
Industry UsageTech, finance, healthcare, e-commerceResearch, finance, marketing, tech

Remote Machine Learning Architects focus on designing and implementing scalable ML systems, while Data Scientists analyze data and build models. Both roles require advanced degrees and often overlap in skills, but their core responsibilities differ in scope and focus.

What is a Remote Machine Learning Architect?

A Remote Machine Learning Architect is a professional who designs, builds, and oversees machine learning systems and infrastructure while working remotely. They collaborate with data scientists, engineers, and stakeholders to define system architecture, select appropriate algorithms, and ensure scalable deployment of machine learning models. Their responsibilities include setting technical standards, optimizing workflows, and ensuring integration with existing IT infrastructure, all accomplished through remote communication and collaboration tools. This role requires strong expertise in machine learning, cloud platforms, and software engineering.

What are the key skills and qualifications needed to thrive as a Remote Machine Learning Architect, and why are they important?

To thrive as a Remote Machine Learning Architect, you need deep expertise in machine learning algorithms, model development, and a solid background in computer science or related fields, often supported by an advanced degree. Familiarity with cloud platforms (such as AWS, Azure, or GCP), deep learning frameworks (like TensorFlow or PyTorch), and relevant certifications are typically expected. Strong problem-solving, communication, and project management skills help you collaborate effectively with distributed teams and stakeholders. These skills and qualities are crucial for designing scalable ML solutions that drive business value in a remote work environment.
What job categories do people searching Remote Machine Learning Architect jobs in Houston, TX look for? The top searched job categories for Remote Machine Learning Architect jobs in Houston, TX are:
What cities near Houston, TX are hiring for Remote Machine Learning Architect jobs? Cities near Houston, TX with the most Remote Machine Learning Architect job openings:
Machine Learning Guru (Autonomous Navigation)**

Machine Learning Guru (Autonomous Navigation)**

Talentry, LLC

Houston, TX • Remote

$200K - $300K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 27 days ago

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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. **