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Fall Machine Learning Co Op Jobs in Alabama (NOW HIRING)

Restaurant Co-Op

Huntsville, AL · On-site

$9.25 - $11/hr

Career Growth & Learning - 40% of our management hires are internal promotions! * Invest in Your Future - 401(k) plan with company match. * Comprehensive Health Coverage - Medical, dental, and vision ...

Restaurant Co-Op

Huntsville, AL · On-site

$9.25 - $11/hr

Career Growth & Learning - 40% of our management hires are internal promotions! * Invest in Your Future - 401(k) plan with company match. * Comprehensive Health Coverage - Medical, dental, and vision ...

Restaurant Co-Op

Huntsville, AL · On-site

$9.50 - $11.25/hr

Career Growth & Learning - 40% of our management hires are internal promotions! * Invest in Your Future - 401(k) plan with company match. * Comprehensive Health Coverage - Medical, dental, and vision ...

Apply Early

... fall short . Your work will fuel products used by: · Defense customers developing USVs/ASVs for ... machine learning and signal processing to real-world dynamic systems (graduate research counts if ...

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Manufacturing Engineer Co-Op

Pell City, AL · On-site

$61K - $78K/yr

We are a manufacturer of material handling and fall protection products for the production and warehouse/distribution sectors. We're on the cutting edge of manufacturing and distribution; a thriving ...

Manufacturing Engineer Co-Op

Pell City, AL · On-site

$61K - $78K/yr

We are a manufacturer of material handling and fall protection products for the production and warehouse/distribution sectors. We're on the cutting edge of manufacturing and distribution; a thriving ...

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Fall Machine Learning Co Op information

See Alabama salary details

$23.1K

$38.6K

$79.8K

How much do fall machine learning co op jobs pay per year?

As of Jul 1, 2026, the average yearly pay for fall machine learning co op in Alabama is $38,597.00, according to ZipRecruiter salary data. Most workers in this role earn between $29,500.00 and $41,700.00 per year, depending on experience, location, and employer.

What is a Fall Machine Learning Co Op job?

A Fall Machine Learning Co-Op is a temporary, typically full-time position for students or recent graduates to gain hands-on experience in applying machine learning techniques. These roles usually involve working with data, training models, and optimizing algorithms under the supervision of experienced engineers or researchers. They are offered during the fall semester and can last several months. Companies use these positions to provide practical learning opportunities and assess potential future hires.

What can I expect from the day-to-day experience of a Fall Machine Learning Co Op?

As a Fall Machine Learning Co Op, you'll typically work with a team of data scientists and engineers on real projects that may involve data cleaning, model development, testing, and reporting insights. Your days might include collaborating in meetings, coding, analyzing data, and presenting findings to team members or supervisors. You'll receive mentorship from experienced professionals and have opportunities to participate in code reviews and brainstorming sessions. This structure helps you build technical skills, broaden your professional network, and gain a comprehensive understanding of how machine learning is applied in a business setting.

What are the key skills and qualifications needed to thrive in the Fall Machine Learning Co Op position, and why are they important?

To thrive as a Fall Machine Learning Co Op, you should have a solid background in programming (especially Python), statistics, and machine learning concepts, often supported by coursework or hands-on projects in computer science or related fields. Familiarity with tools like TensorFlow, PyTorch, and data analysis libraries such as pandas and scikit-learn is highly valued, while certifications in AI or data science can be a plus. Strong problem-solving skills, eagerness to learn, effective communication, and teamwork help you stand out in this role. These skills are crucial for contributing to real-world projects, collaborating with technical teams, and gaining valuable experience in a fast-paced, innovation-driven environment.

What are popular job titles related to Fall Machine Learning Co Op jobs in Alabama? For Fall Machine Learning Co Op jobs in Alabama, the most frequently searched job titles are:
What job categories do people searching Fall Machine Learning Co Op jobs in Alabama look for? The top searched job categories for Fall Machine Learning Co Op jobs in Alabama are:
What cities in Alabama are hiring for Fall Machine Learning Co Op jobs? Cities in Alabama with the most Fall Machine Learning Co Op job openings:
Infographic showing various Fall Machine Learning Co Op job openings in Alabama as of June 2026, with employment types broken down into 29% Full Time, and 71% Part Time. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $38,597 per year, or $18.6 per hour.

Principle Machine Learning Engineer

Tocaro Blue

Birmingham, AL • On-site

$140K - $200K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 7 days ago


Job description

Job Description
Principle Machine Learning Engineer
Location: Southeastern United States (Hybrid/Remote)
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 Principal ML 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.
What You'll Pioneer
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
• $140,000 - $200,000 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
Flexible Work Environment
• Hybrid and remote options for Southeastern US-based candidates. Offices in Pensacola (FL), Birmingham (AL), and Atlanta (GA)
• 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.