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Remote Director Machine Learning Jobs in Houston, TX

NobleAI

Solutions Engineer

Houston, TX · On-site +1

$200K - $215K/yr

By combining physics and chemistry expertise with advanced machine learning, our platform improves ... Remote-first with Industrious co-working access at The Ion for our Houston-based emploees * 401(k) ...

NobleAI

Solutions Engineer

Houston, TX · On-site +1

$200K - $215K/yr

By combining physics and chemistry expertise with advanced machine learning, our platform improves ... Remote-first with Industrious co-working access at The Ion for our Houston-based emploees * 401(k) ...

Insolation Technology Ltd

Data Analyst

Houston, TX · On-site +1

$21 - $26/hr

Knowledge of machine learning algorithms and data mining techniques. * Familiarity with project ... Flexible work schedule and remote work options Job Type: * Full time Pay: * $21.00 - $26.00 per ...

NobleAI

Solutions Engineer

Houston, TX · Remote

$200K - $215K/yr

By combining physics and chemistry expertise with advanced machine learning, our platform improves ... Remote-first with Industrious co-working access at The Ion for our Houston-based emploees * 401(k) ...

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All JobsMachine Learning JobsRemote Director Machine Learning JobsRemote Director Machine Learning Jobs in Houston, TX

Remote Director Machine Learning information

See Houston, TX salary details

$34.4K

$87.8K

$134.7K

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

As of Aug 10, 2026, the average yearly pay for remote director machine learning in Houston, TX is $87,793.00, according to ZipRecruiter salary data. Most workers in this role earn between $68,300.00 and $101,200.00 per year, depending on experience, location, and employer.

What is the difference between Remote Director Machine Learning vs Remote Data Science Manager?

AspectRemote Director Machine LearningRemote Data Science Manager
Required CredentialsMaster's or PhD in Computer Science, Data Science, or related field; experience in ML algorithmsMaster's in Data Science, Statistics, or related; strong analytical background
Work EnvironmentLeads ML teams, develops models, and oversees deployment in tech-focused companiesManages data science teams, focuses on insights and analytics for business decisions
Employer & Industry UsageTech firms, AI startups, large enterprises with AI initiativesFinancial, healthcare, retail, and other industries leveraging data insights

While both roles require advanced education and involve data-driven work, the Remote Director Machine Learning primarily focuses on leading ML model development and deployment, whereas the Remote Data Science Manager emphasizes managing data analysis teams and deriving business insights.

What does a remote director of machine learning do?

A Remote Director of Machine Learning leads teams of data scientists and engineers to develop, implement, and oversee machine learning solutions for an organization, all while working remotely. They are responsible for setting the strategic direction for ML projects, collaborating with stakeholders, and ensuring that models align with business objectives. This role typically involves both technical leadership—such as reviewing algorithms and architectures—and managerial duties, such as mentoring staff and managing budgets. Working remotely, they use digital collaboration tools to communicate, monitor progress, and deliver results effectively.

What are the key skills and qualifications needed to thrive as a remote director of machine learning, and why are they important?

To thrive as a Remote Director of Machine Learning, you need advanced expertise in machine learning algorithms, data science, and leadership, typically supported by a graduate degree in a related field and extensive experience in deploying ML solutions. Familiarity with tools like Python, TensorFlow, PyTorch, cloud platforms, and experience with project management systems is essential, and certifications such as AWS Certified Machine Learning can be advantageous. Outstanding communication, strategic thinking, and the ability to mentor and manage distributed teams are crucial soft skills in this role. These skills and qualities are vital to successfully lead innovative ML projects, align technical teams with business goals, and drive impactful outcomes in a remote environment.

How does a remote director of machine learning typically coordinate and lead distributed teams across different time zones?

As a Remote Director of Machine Learning, effective coordination of distributed teams requires strong communication strategies, including regular video meetings, clear documentation, and use of collaborative project management tools. Leaders in this role often establish overlapping core hours and leverage asynchronous communication to accommodate various time zones. They focus on aligning goals, fostering a culture of transparency, and ensuring continuous progress through well-defined milestones. Building trust and maintaining team engagement remotely are common challenges, but successful directors prioritize mentorship, feedback, and virtual team-building activities to create a cohesive work environment.
What are popular job titles related to Remote Director Machine Learning jobs in Houston, TX? For Remote Director Machine Learning jobs in Houston, TX, the most frequently searched job titles are:
What job categories do people searching Remote Director Machine Learning jobs in Houston, TX look for? The top searched job categories for Remote Director Machine Learning jobs in Houston, TX are:
What cities near Houston, TX are hiring for Remote Director Machine Learning jobs? Cities near Houston, TX with the most Remote Director Machine Learning job openings:
Remote Director Machine Learning jobs near you

Controls & Modeling Engineer (Senior - Principal) - Advanced Automation

Halliburton

Houston, TX • On-site, Remote

$92K - $122K/yr

Full-time

Re-posted 21 days ago

Halliburton rating

7.1

Company rating: 7.1 out of 10

Based on 134 frontline employees who took The Breakroom Quiz

350th of 446 rated engineering

Job description

We are looking for the right people — people who want to innovate, achieve, grow and lead. We attract and retain the best talent by investing in our employees and empowering them to develop themselves and their careers. Experience the challenges, rewards and opportunity of working for one of the world’s largest providers of products and services to the global energy industry.

About Sperry Drilling

Sperry Drilling delivers industry-leading Measurement-While-Drilling (MWD), Logging-While-Drilling (LWD), and Rotary Steerable System (RSS) technologies that help operators drill safer, faster, and more precisely. Through advanced downhole tools, real-time data acquisition, and reliability-driven engineering, Sperry enables customers to maximize well placement, efficiency, and reservoir understanding in every drilling environment.

About the Role

The Controls & Modeling Engineer advances research and development of next-generation automation, controls, robotics, and intelligent systems technologies within the Advanced Controls COE.

This role focus on rigorous application of advanced control theory, dynamic modeling, estimation, optimization, machine learning, and agentic AI to high-value engineering problems.

Work spans early-stage concept generation, algorithm development, simulation and validation, prototype implementation, and transition of emerging technologies into deployable workflows and systems.

This position contributes to strategic R&D initiatives with direct commercial relevance. Scope includes development of physics-based and data-driven methods for automation, operational decision support, autonomous and semi-autonomous systems, and model-based performance improvement. Close collaboration with multidisciplinary teams across engineering, software, digital, and operations.


Key Responsibilities

  • Develop and evaluate agentic AI systems that combine reasoning, tools, data, and simulation assets to enable advanced technical analysis, automation, and human-in-the-loop decision making. 
  • Integrate large language models (LLMs), retrieval-augmented systems, and AI agents with controls, modeling, and optimization frameworks. 
  • Develop machine learning, data analytics, and hybrid physics-AI approaches to improve system performance, automation, and operational efficiency. 
  • Develop software tools, workflows, orchestration pipelines, and visualization capabilities to support AI-enabled engineering and operations. 
  • Conduct research and development in advanced controls, robotics, dynamic modeling, and automation for complex engineering systems. 
  • Design & apply advanced control techniques including adaptive, nonlinear, robust, optimal, and model predictive control (MPC). 
  • Develop and validate dynamic models, simulations, and system identification methodologies. 
  • Collaborate with multidisciplinary teams across engineering, software, data science, and operations. 
  • Contribute to technical innovation through patents, publications, conferences, and internal programs. 
Qualifications

Required

  • PhD or equivalent experience in a relevant engineering or scientific discipline with emphasis on controls, dynamic systems, automation, machine learning, or intelligent systems; or equivalent R&D experience. 
  • Experience with agentic AI, LLM-based workflows, orchestration frameworks, or tool-using AI agents applied to scientific, industrial, or engineering use cases. 
  • Deep knowledge of control theory, including modern control, optimal control, Model Predictive Control (MPC), and system dynamics. 
  • Knowledge of robotics, mechatronics, high‑DoF systems, path planning, and dynamic modeling. 
  • Strong technical communication and collaboration skills. 

Preferred

  • Ability to build data pipelines, workflows, and analytical tools for AI/ML tool chain which includes data cleaning, feature extraction, optimization, and insight generation. 
  • Strong programming skills in MATLAB, Python, C/C++, C#, Java, or similar languages. 
  • Create dashboards and use data visualization tools such as Python, or JavaScript Typescript frameworks. 
  • Ability to design, analyze, and troubleshoot control systems, sensors, actuators, pumps, VFDs, and automation hardware. 
  • Strong capability to read and interpret electrical schematics, mechanical drawings, P&IDs, flow charts, and cause‑and‑effect diagrams.  

Candidates exceeding minimum requirements may be considered for higher-level positions based on experience, additional qualifications, and business needs. Career progression ranges Controls & Modeling Engineer Senior to Controls & Modeling Engineer Principal. 

World Class Benefits

At Halliburton, we’re committed to supporting you and your family with a comprehensive and affordable benefits package that covers your physical, emotional, financial, and parental needs — now and in the future. When you join our team, you’ll gain access to a wide range of programs designed to help you thrive at work and at home.

Click here to review a summary of the benefits available once you join.

Core Competencies

Advanced Control Systems | Control Theory & System Identification | Robotics & Autonomous Systems | High DoF Systems & Path Planning | Modeling & Simulation | Control + Machine Learning | Data Analytics + Engineering | Neural Networks & Bayesian Methods | MATLAB/Simulink & Python | Dynamic Systems & Optimization | Robotics + Control | Theory + Practical Deployment | Field Implementation Experience | Cross-Functional Collaboration | Innovation & Technology Development

Halliburton is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation.

Location

3000 N. Sam Houston Parkway E., Houston, Texas, 77032, United States

Job Details

Requisition Number: 207457  
Experience Level: Experienced Hire 
Job Family: Engineering/Science/Technology 
Product Service Line: Sperry Drilling Svcs   
Full Time / Part Time: Full Time

Additional Locations for this position: 

Compensation Information
Compensation is competitive and commensurate with experience.

What Halliburton employees say

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About Halliburton

Sourced by ZipRecruiter

Halliburton, headquartered in Houston, TX, US, is a world-renowned corporation in the oilfield services industry. Established in 1919, the company has made significant inroads in the energy sector, playing a pivotal role in oil and gas explorations across the globe. One can visit their official website, halliburton.com, to learn more about their business operations, products, and services. Halliburton specializes in a broad spectrum of services including locating hydrocarbons, managing geological data, drilling and formation evaluation, well construction and completion, and optimizing production throughout the life of the field. Halliburton’s mission is to maximize the value of oil and gas assets.

Industry

Health care and social assistance

Company size

10,000+ Employees

Headquarters location

Houston, TX, US

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