1

Machine Learning Research Engineer Jobs in Alabama

Staff Machine Learning Engineer

Birmingham, AL ยท On-site

$155K - $190K/yr

... learning researcher ready to push the limits of AI in one of the toughest domains--maritime ... As a Staff Machine Learning Engineer , you will be the lead architect of Radar (and secondary EO/IR ...

Staff Machine Learning Engineer

Birmingham, AL ยท On-site

$155K - $190K/yr

... experienced machine learning researcher ready to push the limits of AI in one of the toughest ... As a Staff Machine Learning Engineer , you will be the lead architect of Radar (and secondary EO/IR ...

Senior Machine Learning Engineer

Birmingham, AL ยท On-site

$130K - $162K/yr

... learning researcher ready to push the limits of AI in one of the toughest domains--maritime ... As a Senior Machine Learning Engineer , you will build ML models for object detection, semantic ...

Senior Machine Learning Engineer

Birmingham, AL ยท On-site

$130K - $162K/yr

... experienced machine learning researcher ready to push the limits of AI in one of the toughest ... As a Senior Machine Learning Engineer , you will build ML models for object detection, semantic ...

Learn and understand a large body of research in deep learning and machine learning * Participate in cutting-edge research for medical applications of computer vision Must Have Experience

Learn and understand a large body of research in deep learning and machine learning * Participate in cutting-edge research for medical applications of computer vision Must Have Experience

Learn and understand a large body of research in deep learning and machine learning * Participate in cutting-edge research for medical applications of computer vision Must Have Experience

Learn and understand a large body of research in deep learning and machine learning * Participate in cutting-edge research for medical applications of computer vision Must Have Experience

next page

Showing results 1-20

Machine Learning Research Engineer information

See Alabama salary details

$33.5K

$96.1K

$129.2K

How much do machine learning research engineer jobs pay per year?

As of Aug 6, 2026, the average yearly pay for machine learning research engineer in Alabama is $96,088.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,300.00 and $94,300.00 per year, depending on experience, location, and employer.

What does a machine learning research engineer do?

A Machine Learning Research Engineer develops and improves machine learning models, conducts research to advance AI techniques, and implements scalable algorithms. They work at the intersection of applied research and engineering, leveraging mathematical and statistical methods to optimize performance. Their role involves experimenting with new architectures, analyzing large datasets, and collaborating with data scientists and software engineers to deploy models into production.

What are some common challenges faced by machine learning research engineers in their daily work?

Machine Learning Research Engineers often encounter challenges such as sourcing and preparing large, high-quality datasets, tuning complex model architectures, and ensuring reproducibility of experimental results. They work closely with cross-functional teams, including data scientists and software engineers, to deploy models in production environments and must frequently adapt to rapidly evolving research. Keeping up with the latest scientific literature and integrating new algorithms into ongoing projects can be demanding but is also rewarding. This collaborative, fast-paced environment provides constant opportunities for learning and professional development.

What are the key skills and qualifications needed to thrive as a machine learning research engineer?

A Machine Learning Research Engineer typically needs a strong background in computer science, mathematics, and statistics, often with a graduate degree in a related field. Proficiency in programming languages such as Python or C++, experience with machine learning frameworks like TensorFlow or PyTorch, and familiarity with tools for data analysis are crucial, along with relevant certifications being a plus. Strong problem-solving skills, collaboration, and effective communication help drive innovative research and facilitate teamwork. These competencies are essential for developing advanced machine learning models, staying current with evolving technologies, and effectively translating research into real-world applications.

What are popular job titles related to Machine Learning Research Engineer jobs in Alabama? For Machine Learning Research Engineer jobs in Alabama, the most frequently searched job titles are:
Infographic showing various Machine Learning Research Engineer job openings in Alabama as of July 2026, with employment types broken down into 1% As Needed, 72% Full Time, 24% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $96,088 per year, or $46.2 per hour.

Staff Machine Learning Engineer

Tocaro Blue

Birmingham, AL โ€ข On-site

$155K - $190K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 13 days ago


Job description

Transform Maritime Intelligence with Cutting-Edge AI/ML

Are you an experienced machine learning researcher ready to push the limits of AI in one of the toughest domains—maritime autonomy? At Tocaro Blue, your expertise in designing, training, and deploying custom ML models will directly advance our foundational perception stack, ProteusCore.

As a Staff Machine Learning Engineer, you will be the lead architect of Radar (and secondary EO/IR) models for object detection, semantic segmentation, and tracking. You’ll design algorithms capable of distinguishing vessels, land, shoreline constructions, wakes, and markers in dynamic maritime environments where off-the-shelf models fall short.

Your work will fuel products used by:

· Defense customers developing USVs/ASVs for the U.S. Navy.

· Commercial OEMs bringing advanced marine ADAS and autopilot features to market.

This role is an opportunity to define the ML foundations of maritime autonomy—where perception evolves from situational awareness, to navigation assistance, to full autonomy.

Core ML and Autonomy Innovation

· Invent and refine custom deep learning architectures for Radar and EO/IR imagery, with an emphasis on semantic segmentation and temporal tracking

· Develop multi-stage ML pipelines (context + characteristic models, segmentation + classification) tailored to low-SNR Radar returns

· Train models on proprietary large-scale datasets (millions of Radar samples and camera sequences) with design-of-experiment methods for data collection and annotation

· Optimize and deploy models to resource-constrained edge hardware (CPU-only and ARM64 platforms), including C++ inference layers

· Advance fusion-aware ML models that integrate Radar with EO/IR, AIS, and cartography for robust classification in GPS-denied or cluttered environments

· Collaborate with fusion and autonomy engineers to ensure ML outputs integrate seamlessly into multi-target tracking and SLAM pipelines

· Contribute to ML-Ops workflows: data management, large-scale training, continuous integration of new field data, and automated evaluation pipelines

What Sets You Apart

Essential Qualifications

· Advanced degree (MS/PhD) in Electrical Engineering, Computer Science, Robotics, or related field

· 7+ years applying machine learning and signal processing to real-world dynamic systems (graduate research counts if directly applicable)

· Demonstrated mastery of semantic segmentation and object classification models, ideally applied to non-vision sensor modalities

· Expert-level Python skills with ML frameworks (TensorFlow/Keras, PyTorch, or equivalent)

Preferred Expertise

· Track record of developing ML models beyond standard YOLO-style detectors, particularly for segmentation of noisy or sparse data (Radar, sonar, or medical imaging)

· Strong background in computer vision and temporal modeling (CNNs, transformers, RNNs for sequential sensor data)

· Experience deploying ML to embedded/edge platforms with optimized C++ inference

· Knowledge of marine, automotive, or aerial robotics systems

· Contributions to large-scale ML data pipelines: annotation strategies, dataset balancing, simulation-to-real transfer

· Passion for pushing the boundaries of AI in GPS-denied, cluttered, and low-visibility environments

Why Tocaro Blue?

Competitive Compensation & Growth

· Competitive base salary with potential equity in a rapidly growing company

· Comprehensive benefits: 401(k) with 4% company matching, full health/dental/vision, life & disability insurance, generous PTO

· Continuous learning via conferences, training, and professional growth

Innovation-First Culture

· Direct impact on defining the AI backbone of maritime autonomy

· Work on problems unsolved in automotive AI: Radar segmentation, maritime multi-object tracking, sensor fusion in GPS-denied waters

· Collaborative environment with elite engineers and researchers

Exciting Work Environment

· Full-time, in person with our research team in Birmingham (AL)

· Hands-on field validation through semi-monthly data collection trips at our Pensacola test facility

· A culture that balances innovation with personal growth

Equal Opportunity & Eligibility

Tocaro Blue, LLC is an equal opportunity employer, and we value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Individual offers are based are made based on skill and experience, geographic location, as well as role, responsibility, and leadership within the company, and other due diligence. Our hiring team will try to determine whether each candidate fits the job description and may choose, at their discretion, to redirect a candidate to another job offering that is more appropriate.

All employees must be eligible to obtain a U.S. Department of Defense security clearance. With few exceptions, this is restricted to U.S. citizens and legal permanent residents (a.k.a. current Green Card Holders). Tocaro Blue LLC is not able to sponsor work visas nor permanent resident cards ("green cards") for this role.