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Remote Senior Machine Learning Engineer Jobs in Alabama

Senior Machine Learning Researcher

Birmingham, AL ยท On-site +1

$132K - $160K/yr

Southeastern United States (Hybrid/Remote) Transform Maritime Intelligence with Cutting-Edge AI/ML ... Collaborate with fusion and autonomy engineers to ensure ML outputs integrate seamlessly into multi ...

Job Requisition ID # 26WD94803 Senior Principal Machine Learning Engineer, ML Platform and Systems ... This role is fully remote-friendly, with team members distributed across the US and Canada.

This is a senior technical leadership role for an engineer who excels at system architecture ... US or Canada Remote Responsibilities * Lead architecture and delivery for major ML platform ...

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Remote Senior Machine Learning Engineer information

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

To thrive as a Remote Senior Machine Learning Engineer, you need deep expertise in machine learning algorithms, statistical analysis, and strong programming skills (often in Python or similar languages), typically supported by a degree in computer science or a related field. Familiarity with tools such as TensorFlow, PyTorch, cloud platforms (AWS, GCP, or Azure), and experience with data engineering pipelines are commonly required, along with certifications like TensorFlow Developer or AWS Machine Learning Specialty. Excellent problem-solving, communication, and self-management skills help you collaborate remotely, lead projects, and explain complex models to stakeholders. These skills and qualities are vital for building scalable ML solutions, ensuring effective teamwork across distributed environments, and delivering impactful results.

How do Remote Senior Machine Learning Engineers typically collaborate with cross-functional teams despite working remotely?

Remote Senior Machine Learning Engineers often work closely with data scientists, product managers, and software engineers using digital collaboration tools such as Slack, Jira, and video conferencing platforms. Regular virtual meetings and code reviews are standard practices to ensure alignment on project goals and to facilitate knowledge sharing. Clear communication, proactive documentation, and adaptability to different time zones are key to effective teamwork in a remote environment. This structure allows for flexibility while maintaining strong collaboration and project momentum.

What does a Remote Senior Machine Learning Engineer do?

A Remote Senior Machine Learning Engineer designs, develops, and deploys machine learning models and systems while working from a location outside the traditional office. They collaborate with cross-functional teams, analyze large datasets, build scalable algorithms, and often mentor junior engineers. Their work helps organizations automate processes, gain insights, and improve products or services using data-driven approaches. Senior engineers are also responsible for ensuring model performance, reliability, and integration into production environments. Working remotely, they use various communication and collaboration tools to stay connected with their team.

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

AspectRemote Senior Machine Learning EngineerRemote Data Scientist
Required CredentialsBachelor's/Master's in CS, ML, or related; experience with ML frameworksBachelor's/Master's in Statistics, Data Science, or related; strong analytical skills
Work EnvironmentDevelops and deploys ML models, collaborates with engineering teamsAnalyzes data, builds statistical models, provides insights
Employer & Industry UsageTech companies, startups, AI-focused firmsResearch institutions, tech companies, finance, healthcare

Remote Senior Machine Learning Engineers focus on designing, building, and deploying ML models, often working closely with engineering teams. Data Scientists analyze data and develop insights, but may not always deploy models. Both roles require strong technical skills and are highly sought after in tech industries, but their core responsibilities differ.

What are popular job titles related to Remote Senior Machine Learning Engineer jobs in Alabama? For Remote Senior Machine Learning Engineer jobs in Alabama, the most frequently searched job titles are:
What cities in Alabama are hiring for Remote Senior Machine Learning Engineer jobs? Cities in Alabama with the most Remote Senior Machine Learning Engineer job openings:
Infographic showing various Remote Senior Machine Learning Engineer job openings in Alabama as of May 2026, with employment types broken down into 92% Full Time, 4% Part Time, and 4% Contract. Highlights an 89% Physical, 2% Hybrid, and 9% Remote job distribution.

Senior Machine Learning Researcher

Tocaro Blue

Birmingham, AL โ€ข On-site, Remote

$132K - $160K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

This job post hasย expired today.ย Applications are no longer accepted.


Job description


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 Senior ML Researcher, 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, not just detection.
* 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
* $132,000-$160,000 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.
* Hands-on field validation through 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.
NOTICE: All candidates for this role must be eligible to access sensitive information and items that requires "US Person status", which is typically limited to U.S. citizens and legal permanent residents (a.k.a. green card holders), with few exceptions. Tocaro Blue LLC is not able to sponsor work visas for this role.