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New Grad Machine Learning Jobs in Alabama (NOW HIRING)

NEW GRAD (DAYS AND NIGHTS OPEN)-North Alabama Medical Center Where We Are: Florence, Alabama is ... Evaluates learning needs of patient and/or family and provides patient/family education appropriate ...

RN New Grad

Florence, AL ยท On-site

$25.25 - $28.50/hr

NEW GRAD (DAYS AND NIGHTS OPEN)-North Alabama Medical Center Where We Are: Florence, Alabama is ... Evaluates learning needs of patient and/or family and provides patient/family education appropriate ...

... new technologies to our customers. We have an immediate opportunity for a dynamic, hardworking career level Autonomy and Artificial Intelligence (A/AI) Machine Learning (ML) Engineer who wants to ...

AI/ML Engineer

Huntsville, AL ยท On-site

$89K - $157K/yr

... new technologies to our customers. We have an immediate opportunity for a dynamic, hardworking career level Autonomy and Artificial Intelligence (A/AI) Machine Learning (ML) Engineer who wants to ...

Press Machine Operator

Foley, AL ยท On-site

$14 - $18.50/hr

If you enjoy working with machinery, learning new skills, and being part of a company where your work matters, we want to meet you. What You'll Get: Weekly Pay Employee Stock Ownership (ESOP) Medical ...

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New Grad Machine Learning information

What are some typical challenges new graduates might face when starting out in a machine learning role, and how can they overcome them?

New grad machine learning engineers often encounter challenges such as bridging the gap between academic knowledge and practical, production-level projects. Adapting to real-world data issues, collaborating with cross-functional teams, and understanding scalable deployment can be daunting at first. To overcome these, it's helpful to seek mentorship, proactively ask questions, and dedicate time to learning best practices in code versioning, model evaluation, and team communication. Engaging in code reviews and participating in team discussions can also accelerate the learning curve and foster professional growth.

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

To thrive as a New Grad Machine Learning Engineer, you need a solid foundation in mathematics, statistics, and programming (especially Python), typically supported by a degree in computer science or a related field. Familiarity with machine learning frameworks such as TensorFlow or PyTorch, version control systems like Git, and coursework or certification in data science are highly beneficial. Strong problem-solving abilities, curiosity, and effective communication skills help you collaborate and convey complex technical concepts to diverse teams. These skills and qualities are essential for developing innovative models, ensuring project success, and integrating seamlessly into fast-paced tech environments.

What is the difference between New Grad Machine Learning vs Data Scientist?

AspectNew Grad Machine LearningData Scientist
Required CredentialsBachelor's in CS, Data Science, or related field; some internshipsBachelor's or Master's in CS, Statistics, or related; some experience
Work EnvironmentEntry-level, team-focused, research and developmentData analysis, modeling, cross-functional collaboration
Employer & Industry UsageTech companies, startups, research labsTech, finance, healthcare, consulting firms

New Grad Machine Learning roles typically focus on foundational skills, internships, and entry-level tasks, while Data Scientist positions often require more experience in data analysis and statistical modeling. Both roles are common in tech industries, but Data Scientists usually handle broader data analysis responsibilities.

What are 'New Grad Machine Learning' roles?

New Grad Machine Learning roles are entry-level positions designed for recent graduates who have studied machine learning, artificial intelligence, data science, or related fields. These positions typically involve working with experienced data scientists and engineers to develop, implement, and improve machine learning models and algorithms. New grads in these roles often contribute to projects involving data preprocessing, model training, evaluation, and deployment. The goal is to help new graduates gain hands-on experience and grow their skills in a real-world setting while contributing to the organization's AI initiatives.
What cities in Alabama are hiring for New Grad Machine Learning jobs? Cities in Alabama with the most New Grad Machine Learning job openings:

Senior Machine Learning Researcher

Tocaro Blue

Birmingham, AL โ€ข On-site

$132K - $160K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 7 hours ago


Job description

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:
โ€ข Defense customers developing USVs/ASVs for the U.S. Navy.
โ€ข 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
โ€ข 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.
โ€ข Develop multi-stage ML pipelines (context + characteristic models, segmentation + classification) tailored to low-SNR Radar returns.
โ€ข Train models on proprietary large-scale datasets (millions of Radar samples and camera sequences) with design-of-experiment methods for data collection and annotation.
โ€ข Optimize and deploy models to resource-constrained edge hardware (CPU-only and ARM64 platforms), including C++ inference layers.
โ€ข Advance fusion-aware ML models that integrate Radar with EO/IR, AIS, and cartography for robust classification in GPS-denied or cluttered environments.
โ€ข Collaborate with fusion and autonomy engineers to ensure ML outputs integrate seamlessly into multi-target tracking and SLAM pipelines.
โ€ข 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
โ€ข Advanced degree (MS/PhD) in Electrical Engineering, Computer Science, Robotics, or related field.
โ€ข 7+ years applying machine learning and signal processing to real-world dynamic systems (graduate research counts if directly applicable).
โ€ข Demonstrated mastery of semantic segmentation and object classification models, ideally applied to non-vision sensor modalities.
โ€ข Expert-level Python skills with ML frameworks (TensorFlow/Keras, PyTorch, or equivalent).
Preferred Expertise
โ€ข Track record of developing ML models beyond standard YOLO-style detectors, particularly for segmentation of noisy or sparse data (Radar, sonar, or medical imaging).
โ€ข Strong background in computer vision and temporal modeling (CNNs, transformers, RNNs for sequential sensor data).
โ€ข Experience deploying ML to embedded/edge platforms with optimized C++ inference.
โ€ข Knowledge of marine, automotive, or aerial robotics systems.
โ€ข Contributions to large-scale ML data pipelines: annotation strategies, dataset balancing, simulation-to-real transfer.
โ€ข Passion for pushing the boundaries of AI in GPS-denied, cluttered, and low-visibility environments.
Why Tocaro Blue?
Competitive Compensation & Growth
โ€ข $132,000-$160,000 base salary with potential equity in a rapidly growing company.
โ€ข Comprehensive benefits: 401(k) with 4% company matching, full health/dental/vision, life & disability insurance, generous PTO.
โ€ข Continuous learning via conferences, training, and professional growth.
Innovation-First Culture
โ€ข Direct impact on defining the AI backbone of maritime autonomy.
โ€ข Work on problems unsolved in automotive AI: Radar segmentation, maritime multi-object tracking, sensor fusion in GPS-denied waters.
โ€ข Collaborative environment with elite engineers and researchers.
โ€ข Hands-on field validation through monthly data collection trips at our Pensacola test facility
โ€ข 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.