AI/ML Research Engineer – Shaping the Future of Intelligent Technology

Are you passionate about cutting-edge Artificial Intelligence and Machine Learning innovations? We are seeking an AI/ML Research Engineer to join a forward-thinking tech team in Houston, TX. This is a unique opportunity to contribute to breakthrough research and real-world applications in AI, data science, and automation. If you have a deep understanding of advanced algorithms, model development, and experimentation, and thrive in a collaborative and research-driven environment, this role could be your next career milestone.

Drive Innovation at the Intersection of Research and Real-World Impact

A leading technology-driven organization in Houston, TX is looking for a talented AI/ML Research Engineer to accelerate its efforts in solving complex, data-intensive problems. The ideal candidate will bring hands-on experience in developing machine learning models, optimizing deep learning frameworks, and publishing research in top-tier journals or conferences. If you’re excited by the idea of applying your expertise to tackle real-world challenges and drive future-forward AI systems, this is the opportunity to be part of something impactful.

Key Responsibilities of the AI/ML Research Engineer – Houston, TX

Algorithm Design & Model Development:
Design, develop, and implement cutting-edge machine learning and deep learning models to solve complex business and research problems. Leverage techniques such as supervised, unsupervised, and reinforcement learning to drive intelligent solutions.

Research & Innovation:
Conduct advanced research in AI/ML technologies, staying current with academic and industry trends. Publish research papers, attend conferences, and contribute to thought leadership in the AI space.

Data Engineering & Preprocessing:
Work with large, structured and unstructured datasets. Perform data cleaning, normalization, and feature engineering to ensure high-quality inputs for model training and testing.

Model Evaluation & Optimization:
Evaluate models using statistical and performance metrics. Continuously improve models through tuning, cross-validation, and experimentation to achieve production-grade robustness and accuracy.

Cross-functional Collaboration:
Collaborate with data scientists, software engineers, product managers, and domain experts to integrate models into real-world applications. Translate research outcomes into scalable, deployable solutions.

Tooling & Infrastructure:
Build and maintain the infrastructure needed for experimentation and deployment, including pipelines, environments, and cloud-based platforms. Utilize frameworks such as TensorFlow, PyTorch, or Scikit-learn.

Ethics & Responsible AI:
Ensure AI systems are transparent, fair, and aligned with ethical best practices. Incorporate bias detection, explainability, and accountability into all stages of the AI lifecycle.

Documentation & Reporting:
Document methodologies, experiments, and results comprehensively. Present findings to both technical and non-technical stakeholders, contributing to clear decision-making and project direction.

Continuous Learning & Upskilling:
Stay updated with the latest advancements in AI/ML, emerging tools, and research. Participate in workshops, trainings, and knowledge-sharing sessions to enhance skillsets and drive team innovation.

Problem Solving & Strategic Thinking:
Approach challenges with analytical rigor and creative problem-solving. Align AI initiatives with broader organizational goals to maximize business value and impact.

What the Client is Looking for in You

As an AI/ML Research Engineer, the client is seeking a highly analytical and forward-thinking technologist with a passion for innovation and discovery. You should possess a strong foundation in artificial intelligence and machine learning, a proven ability to develop scalable models, and a research-driven mindset that thrives on solving complex problems. This role is ideal for someone who bridges deep technical expertise with a collaborative spirit and a desire to make tangible real-world impact.

Advanced Expertise in AI/ML Research

The client is looking for a candidate with a strong academic or professional background in machine learning, artificial intelligence, or data science. You should have hands-on experience with state-of-the-art algorithms, model architectures, and frameworks. A solid understanding of deep learning, natural language processing (NLP), computer vision, or reinforcement learning is highly valued.

Innovative Thinker with a Research Mindset

You should demonstrate a deep curiosity and the ability to explore new methodologies, test hypotheses, and contribute to AI advancements. The ideal candidate is a problem-solver who is not afraid to challenge conventional thinking and is driven by a desire to push the boundaries of what’s possible with intelligent systems.

Proficiency in Programming and Frameworks

Strong programming skills in Python (and optionally C++, Java, or R) are essential. The client expects proficiency with ML frameworks such as TensorFlow, PyTorch, Scikit-learn, or Keras. Familiarity with data manipulation tools (e.g., NumPy, Pandas) and experience working with cloud platforms like AWS, Azure, or GCP will set you apart.

Strong Analytical and Mathematical Skills

You should possess excellent mathematical foundations, particularly in areas such as linear algebra, probability, statistics, and optimization. The client values candidates who can design experiments, interpret model results, and improve algorithmic performance through rigorous analysis.

Collaborative and Impact-Oriented

The client is looking for a team player who thrives in interdisciplinary environments and can effectively communicate complex ideas to both technical and non-technical stakeholders. You should have the ability to work closely with software engineers, product managers, and data teams to turn research into deployable solutions.

Track Record of Publication or Industry Projects

Whether you have published in top-tier AI/ML conferences (e.g., NeurIPS, ICML, CVPR) or led high-impact industry projects, the client values evidence of your ability to contribute to the broader AI community. Contributions to open-source projects or patents in related domains are a plus.

Ethical and Responsible AI Advocate

The client places high importance on developing responsible and ethical AI. You should be familiar with concepts such as bias mitigation, fairness, explainability, and data privacy, and be committed to building systems that are socially responsible and trustworthy.

FAQs About the Role – AI/ML Research Engineer – Houston, TX

1. What are the key responsibilities of the AI/ML Research Engineer in this role?
As an AI/ML Research Engineer, your primary responsibilities will include designing and developing machine learning models, conducting in-depth research in AI and data science, and contributing to product innovation through applied AI techniques. You will work with large datasets, build experimental frameworks, and collaborate cross-functionally to deploy scalable, data-driven solutions. Publishing research, optimizing model performance, and adhering to responsible AI practices are also core aspects of this role.

2. What qualifications and experience are required for this position?
The ideal candidate should have a strong academic or professional background in Computer Science, Artificial Intelligence, Machine Learning, or a related field. A Master’s or Ph.D. is preferred but not mandatory if compensated by significant hands-on experience. Proficiency in Python and ML frameworks like TensorFlow, PyTorch, or Scikit-learn is essential. Prior experience in building and deploying machine learning models, contributing to research publications, or working in a product-driven AI environment is highly valued.

3. What technical skills are essential for success in this role?
You should possess a strong grasp of algorithms, statistical modeling, and mathematical concepts such as linear algebra, probability, and optimization. Expertise in data preprocessing, model evaluation, and the use of cloud platforms like AWS, GCP, or Azure is important. Familiarity with version control (e.g., Git), containerization (e.g., Docker), and MLOps practices is a plus.

4. What challenges can I expect in this role?
This role involves solving complex, real-world problems where data may be messy, unstructured, or incomplete. You’ll be expected to balance research innovation with practical implementation, working under tight deadlines and evolving project goals. Staying updated with the rapidly changing AI landscape and integrating cutting-edge techniques into production systems are ongoing challenges in this role.

5. What impact will I have on the organization as an AI/ML Research Engineer?
Your contributions will directly influence the company’s AI capabilities, product performance, and innovation pipeline. By developing intelligent models and improving decision-making systems, you’ll play a critical role in enhancing customer experiences, automating workflows, and enabling data-driven strategies across the organization.

6. What is the work environment and culture like?
The company fosters a collaborative, research-oriented, and innovation-driven culture. You’ll be working in a fast-paced environment with peers who are passionate about technology and solving meaningful problems. Continuous learning, experimentation, and knowledge-sharing are strongly encouraged, with ample opportunities to attend conferences, publish research, and advance your professional development.

What Remuneration Can You Expect from This Job?

As an AI/ML Research Engineer in Houston, TX, you can expect a highly competitive compensation package that reflects your specialized skill set, experience level, and the impact you will have on the organization’s AI and data-driven initiatives. The remuneration typically includes:

1. Base Salary

The base salary for AI/ML Research Engineers in the U.S. varies depending on experience, industry, and location. In Houston, a qualified AI/ML professional can expect an annual base salary ranging from $110,000 to $160,000, with senior roles and candidates with advanced degrees or niche AI expertise earning up to $180,000 or more.

2. Performance-Based Bonuses

Most AI/ML roles include annual bonuses based on individual performance and company success. These bonuses typically range from 10% to 25% of the base salary, rewarding key contributions to research breakthroughs, product deployments, or business outcomes.

3. Equity & Stock Options

If the role is with a tech-forward or high-growth organization (especially startups or tech divisions of large enterprises), you may be eligible for equity-based incentives such as stock options or RSUs. This allows you to share in the company’s long-term success and align your work with organizational growth.

4. Research Grants & Conference Allowances

Many AI-driven companies provide funding for academic partnerships, internal research projects, or conference attendance (e.g., NeurIPS, ICML, CVPR). These grants or stipends can enhance your exposure in the research community while supporting your professional development.

5. Comprehensive Benefits

In addition to your salary, you can expect a robust benefits package that typically includes:

Health, dental, and vision insurance
401(k) with employer contributions
Paid time off (PTO) and sick leave
Flexible work schedules or hybrid/remote options
Life and disability insurance
Learning and development stipends

6. Relocation Assistance & Signing Bonus

For candidates relocating to Houston or transitioning from academic roles, the company may offer a signing bonus (typically between $10,000 and $25,000) or relocation support to ease the transition.

Total Compensation Potential

When combining base salary, bonuses, equity, and benefits, the total compensation for this role can range from $130,000 to $220,000+ annually, depending on your expertise, experience, and the employer’s compensation structure. Exceptional candidates or those with rare domain experience (e.g., AI in energy, autonomous systems, etc.) may command even higher packages.

How to Apply

If you are a passionate and innovative AI/ML professional with a strong background in machine learning, data science, and research-driven development, we invite you to apply for the AI/ML Research Engineer position in Houston, TX. This is a compelling opportunity to work on cutting-edge technologies, contribute to impactful AI solutions, and collaborate with a team of world-class engineers and scientists.

To apply, please submit your updated resume and a cover letter highlighting your experience in:

Machine learning model development and deployment
Research and experimentation in AI/ML algorithms
Programming (Python, TensorFlow, PyTorch, etc.)
Handling large datasets and solving real-world problems with data-driven solutions
Collaborative cross-functional projects and contributions to research publications (if applicable)

This role offers a rewarding career path where your work will directly contribute to advancing the organization’s AI strategy and driving innovation across industries. Apply today to become part of a dynamic, forward-thinking team in one of the fastest-evolving fields of technology.

For more information or to explore similar opportunities, visit our AI & ML Engineer Recruiters Page.

Job Category: AI & ML Engineer

Job Type: Full Time

Job Location: Houston

AI/ML Research Engineer job in Houston, TX