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Contract Apple Machine Learning Engineer Jobs in Alabama

Starfish

AI/ML Engineer

Redstone Arsenal, AL

Design, develop, and deploy machine learning models to support mission-critical objectives ... No Position Contingent Upon Award of Contract : No #LI-DK1 Benefits: Torch Technologies is proud to ...

Starfish

AI/ML Engineer

Redstone Arsenal, AL · On-site

Design, develop, and deploy machine learning models to support mission-critical objectives ... No Position Contingent Upon Award of Contract : No #LI-DK1 Benefits: Torch Technologies is proud to ...

Pwc

AI Engineer

Birmingham, AL · On-site

$50K - $112K/yr

Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS, Google Cloud, Microsoft Azure, Databricks, Snowflake, or related data and AI credentials - Building ...

ECS

Sr. Databricks Solutions Architect

Huntsville, AL · On-site

This position is contingent upon contract award. ECS is seeking a skilled Sr. Databricks Solutions ... data engineering, and machine learning workloads. * Develop scalable ETL/ELT pipelines and ...

Nou Systems Inc

DevOps Engineer

Huntsville, AL · On-site

$120K - $165K/yr

You will help deploy, scale, and standardize machine learning development workflows in support of ... s Engineer, you will help architect, implement, and maintain modern ML development pipelines. You ...

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Contract Apple Machine Learning Engineer information

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

To thrive as a Contract Apple Machine Learning Engineer, you need a strong background in computer science, mathematics, and deep learning, typically with a relevant degree and experience in building ML models. Proficiency with Python, TensorFlow or PyTorch, Apple's Core ML framework, and version control systems is commonly required. Strong problem-solving skills, collaboration, and effective communication help you navigate project requirements and work with cross-functional teams. These skills and experiences are crucial for delivering high-quality, scalable machine learning solutions that align with Apple's standards and rapidly evolving technology needs.

What are the common challenges faced by contract Apple machine learning engineers when integrating ML models into Apple’s ecosystem?

Contract Apple Machine Learning Engineers often encounter challenges such as ensuring seamless integration of machine learning models with Apple’s proprietary platforms like iOS, macOS, or Core ML. Adapting to Apple’s strict security, privacy standards, and performance requirements is essential, as is optimizing models for real-time performance on Apple devices. Collaborating effectively with cross-functional teams—such as software developers, designers, and QA engineers—is crucial to deliver scalable and user-friendly ML features within project timelines.

What is a contract Apple machine learning engineer?

Contract Apple Machine Learning Engineers are professionals hired on a temporary or project basis to develop and implement machine learning models and algorithms specifically for Apple’s products and platforms. They typically work on tasks such as optimizing machine learning workflows for iOS, macOS, or other Apple technologies, and may collaborate closely with Apple’s in-house teams. Their responsibilities can include data preprocessing, model training, evaluation, and integration into Apple’s ecosystem. These engineers are expected to have expertise in machine learning frameworks, programming languages like Python or Swift, and a strong understanding of Apple’s development tools. Contract roles often provide flexibility but may require quick adaptation to Apple’s proprietary systems and high standards.

What are the most commonly searched types of Apple Machine Learning Engineer jobs in Alabama?

The most popular types of Apple Machine Learning Engineer jobs in Alabama are:

What are popular job titles related to Contract Apple Machine Learning Engineer jobs in Alabama?

For Contract Apple Machine Learning Engineer jobs in Alabama, the most frequently searched job titles are:

What job categories do people searching Contract Apple Machine Learning Engineer jobs in Alabama look for?

The top searched job categories for Contract Apple Machine Learning Engineer jobs in Alabama are:

What cities in Alabama are hiring for Contract Apple Machine Learning Engineer jobs?

Cities in Alabama with the most Contract Apple Machine Learning Engineer job openings:

Contract Apple Machine Learning Engineer jobs near you
Infographic showing various Contract Apple Machine Learning Engineer job openings in Alabama as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

Reinforcement Learning AI Engineer

Booz Allen Hamilton

Huntsville, AL • On-site

$99K - $225K/yr

Other

Medical, Life, Retirement, PTO

Posted 23 days ago

Booz Allen Hamilton rating

8.9

Company rating: 8.9 out of 10

Based on 49 frontline employees who took The Breakroom Quiz

9th of 72 rated business consultants

Job description

Job Number: R0245112
Reinforcement Learning AI Engineer
The Opportunity:
Are you an innovative and experience d artifi cia l intelligence ( AI ) developer spe cia lizing in reinforcement learning? Utilize your expertise in AI, data science, and machine learning (ML) engineering to train, test, deploy, and maintain models that learn from data to drive real-world mission critical impact. You will collaborate with dynamic teams to translate reinforcement learning research into operational capability and production-grade code, bringing significant technological advancements that drive mission success.
You'll join a growing community of ML engineers focused on delivering products and solutions to our customers' most challenging problems. You'll collaborate with a team of dedicated space, military, intelligence, engineering, and AI professionals to deliver cutting-edge solutions to solve issues of national importance.
What You'll Work On:
  • Design, implement, and train reinforcement learning ( RL ) and multi-agent reinforcement learning ( MARL ) algorithms for complex decision-making problems.
  • Develop scalable training pipelines using Python and modern ML frameworks.
  • Build and evaluate agents in simulated environments using Gym or PettingZoo, high-fidelity simulators, or custom environments.
  • Apply RL techniques such as policy optimization, value-based learning, model-based RL, and imitation learning.
  • Collaborate with domain experts to define reward structures, constraints, and evaluation met rics aligned with mission objectives.
  • Implement distributed training workflows leveraging cloud compute, containerization, and orchestration technologies.
  • Transition trained models into production systems, following strong sof tware engineering best practices.
  • Contribute to system architecture and performance optimization in Python with opportunities to extend into C++ or Rus t for high-performance components.

Join us. The world can't wait.
You Have:
  • 3+ years of experience developing and training RL agents
  • Experience with AI, data science, ML engineering, or sof tware engineering
  • Experience with Gym or PettingZoo interfaces
  • Experience with ML frameworks such as PyTorch, TensorFlow, or JAX
  • Experience developing technical solutions using Rus t, Python, or C++
  • Knowledge of RL and artifi cia l neural networks
  • Secret clearance
  • Bachelor's degree in a CS, AI, or Engineering field

Nice If You Have:
  • Experience applying RL to autonomy, control systems, or mission-scale
  • Experience with MARL
  • Experience with AFSIM or other high-fidelity simulation environments
  • Experience with embedded systems programming in Rus t, C, or C++
  • Experience in GPU programming, including CUDA or RAPID
  • Experience developing in-space solutions
  • Knowledge of modern sof tware design patterns, including microservice design and orchestration in Kubernetes deployment
  • TS/SCI clearance
  • Master's degree in CS, AI, Engineering, or a related field

Clearance:
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information ; Secret clearance is required.
Compensation
At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.
Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $99,000.00 to $225,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date.
Identity Statement
As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.
Candidate AI Usage Policy
AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.
Work Model
Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.
  • Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.
  • Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.
  • Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.

Commitment to Non-Discrimination
All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.

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About Booz Allen Hamilton

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Booz Allen Hamilton is a leading provider of management and technology consulting services to the US government in defense, intelligence, and civil markets. Headquartered in McLean, Virginia, the firm also serves major corporations, institutions, and not-for-profit organizations. Founded in 1914 by Edwin G. Booz, the company has a long-standing tradition of helping clients achieve success by delivering a wide range of consulting services that include strategic planning, human capital and learning, communication, systems development, and others. The company's mission is to empower people to change the world, and it has a reputation for maintaining the highest standards of integrity and-excellence.

Industry

It services

Company size

10,000+ Employees

Headquarters location

McLean, VA, US

Year founded

1914

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