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Remote Deep Learning Jobs in Alabama (NOW HIRING)

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 ... Invent and refine custom deep learning architectures for Radar and EO/IR imagery, with an emphasis ...

US or Canada Remote Responsibilities * Lead architecture and delivery for major ML platform ... Deep experience in software architecture, distributed systems, large-scale data platforms, or ML ...

Proven experience in digital marketing, with a deep understanding of various marketing channels and ... Continuous Learning: * A commitment to ongoing learning and professional development in growth ...

Proven experience in digital marketing, with a deep understanding of various marketing channels and ... Continuous Learning: * A commitment to ongoing learning and professional development in growth ...

Proven experience in digital marketing, with a deep understanding of various marketing channels and ... Continuous Learning: * A commitment to ongoing learning and professional development in growth ...

Proven experience in digital marketing, with a deep understanding of various marketing channels and ... Continuous Learning: * A commitment to ongoing learning and professional development in growth ...

Proven experience in digital marketing, with a deep understanding of various marketing channels and ... Continuous Learning: * A commitment to ongoing learning and professional development in growth ...

Senior Software Engineer

Montgomery, AL ยท Remote

$150K - $180K/yr

This is a high-impact, hands-on technical leadership role for someone who loves getting deep in the ... Enterprise Learning & Skills Schedule: FULL_TIME Workplace Type: Remote Req ID: 24497 #location

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Remote Deep Learning information

What is a Remote Deep Learning job?

A Remote Deep Learning job involves working with artificial intelligence and machine learning models, particularly using deep neural networks, from a location outside a traditional office, often from home. Professionals in this field design, build, and optimize algorithms that enable computers to learn from large amounts of data. They often work on projects such as image and speech recognition, natural language processing, or autonomous systems. The remote aspect allows flexibility and access to global opportunities, but requires strong communication skills and the ability to collaborate virtually with teams.

What are some common challenges faced by remote deep learning engineers, and how can they be addressed?

Remote deep learning engineers often encounter challenges such as limited access to high-performance computing resources, communication barriers with distributed teams, and difficulties in collaborating on large codebases or datasets. These issues can be mitigated by leveraging cloud-based platforms for scalable computing, using clear communication tools like Slack or Zoom for regular check-ins, and employing version control systems like Git for collaborative code management. Proactively setting up workflows and documentation helps ensure smooth collaboration and project continuity within a remote environment.

What is the difference between Remote Deep Learning vs Remote Machine Learning Engineer?

AspectRemote Deep LearningRemote Machine Learning Engineer
Required CredentialsBachelor's/Master's in CS, AI, or related; experience with neural networksBachelor's/Master's in CS, Data Science, or related; experience with algorithms and data modeling
Work EnvironmentCollaborative teams, research-focused, often in tech or AI companiesDevelopment teams, data-driven projects, across various industries
Employer & Industry UsageTech firms, AI startups, research institutionsTech companies, finance, healthcare, e-commerce

Remote Deep Learning specialists focus on designing and training neural networks for AI applications, often requiring advanced knowledge of deep neural architectures. Remote Machine Learning Engineers work on developing algorithms and models for broader data analysis and predictive tasks. While both roles involve machine learning, deep learning emphasizes neural networks, whereas machine learning engineers may work with a variety of algorithms across industries.

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

To thrive as a Remote Deep Learning Engineer, you need strong programming skills in Python, a deep understanding of machine learning algorithms, and typically a degree in computer science, engineering, or a related field. Proficiency with frameworks like TensorFlow or PyTorch, as well as cloud computing platforms such as AWS or Google Cloud, is essential, and certifications in these technologies can be advantageous. Excellent problem-solving abilities, self-motivation, and clear communication are crucial soft skills for remote collaboration and project delivery. These skills ensure effective development, deployment, and maintenance of deep learning models while working independently in distributed teams.
What are the most commonly searched types of Deep Learning jobs in Alabama? The most popular types of Deep Learning jobs in Alabama are:
What are popular job titles related to Remote Deep Learning jobs in Alabama? For Remote Deep Learning jobs in Alabama, the most frequently searched job titles are:
What cities in Alabama are hiring for Remote Deep Learning jobs? Cities in Alabama with the most Remote Deep Learning job openings:

Senior Machine Learning Researcher

Tocaro Blue

Birmingham, AL โ€ข On-site, Remote

$132K - $160K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 13 days ago


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.