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Junior Ml Engineer Jobs (NOW HIRING)

Sierra Nevada Corporation

Sr AI/ML Engineer

Lone Tree, CO · On-site

$106K - $146K/yr

The Senior AI/ML Engineer is a highly skilled and experienced professional responsible for leading ... Demonstrated experience leading teams or projects, including mentoring junior staff. * Proven track ...

Booz Allen Hamilton, Inc.

AI/ML Engineer, Lead

Ashburn, VA · On-site +1

$104K - $138K/yr

Share AI/ML Engineer, Lead The Opportunity: As an AI/Machine Learning Engineer, you'll lead the ... Mentor junior engineers and contribute to best practices, coding standards, and technical ...

CACI

Staff Computer Vision AI/ML Engineer

Aurora, CO · Remote

As a CV AI/ML Engineer, you will apply cutting-edge AI/ML-based Computer Vision algorithms to ... mentor junior engineers. Additionally, they will work our technical and business strategy ...

CACI

Staff Computer Vision AI/ML Engineer

Aurora, CO · Remote

As a CV AI/ML Engineer, you will apply cutting-edge AI/ML-based Computer Vision algorithms to ... mentor junior engineers. Additionally, they will work our technical and business strategy ...

Booz Allen Hamilton

AI/ML Engineer, Lead

Ashburn, VA · On-site

$104K - $138K/yr

AI/ML Engineer, Lead The Opportunity: As an AI/Machine Learning Engineer, you'll lead the design ... Mentor junior engineers and contribute to best practices, coding standards, and technical ...

Sierra Nevada Corporation

Sr AI/ML Engineer

Hagerstown, MD · On-site

$103K - $142K/yr

The Senior AI/ML Engineer is a highly skilled and experienced professional responsible for leading ... Demonstrated experience leading teams or projects, including mentoring junior staff. * Proven track ...

Sierra Nevada Corporation

Sr AI/ML Engineer

Herndon, VA · On-site

$107K - $147K/yr

The Senior AI/ML Engineer is a highly skilled and experienced professional responsible for leading ... Demonstrated experience leading teams or projects, including mentoring junior staff. * Proven track ...

Sierra Nevada Corporation

Sr AI/ML Engineer

Longmont, CO · On-site

$103K - $141K/yr

The Senior AI/ML Engineer is a highly skilled and experienced professional responsible for leading ... Demonstrated experience leading teams or projects, including mentoring junior staff. * Proven track ...

Booz Allen Hamilton, Inc.

AI/ML Engineer, Lead

Ashburn, VA · On-site

$104K - $138K/yr

AI/ML Engineer, Lead The Opportunity: As an AI/Machine Learning Engineer, you'll lead the design ... Mentor junior engineers and contribute to best practices, coding standards, and technical ...

h2o.ai

Senior AI Engineer

San Francisco, CA · On-site

$180 - $280/hr

Mentor and guide junior ML engineers and solution engineers within engagements, building team capability alongside delivery. * Collaborate closely with H2O.ai product and engineering teams to surface ...

Sierra Nevada Corporation

Sr AI/ML Engineer

Lone Tree, CO · On-site

$106K - $146K/yr

The Senior AI/ML Engineer is a highly skilled and experienced professional responsible for leading ... Demonstrated experience leading teams or projects, including mentoring junior staff. * Proven track ...

Sierra Nevada Corporation

Sr AI/ML Engineer

Sparks, NV · On-site

$106K - $146K/yr

The Senior AI/ML Engineer is a highly skilled and experienced professional responsible for leading ... Demonstrated experience leading teams or projects, including mentoring junior staff. * Proven track ...

h2o.ai

Senior AI Engineer

Dallas, TX · On-site

$180 - $260/hr

Mentor and guide junior ML engineers and solution engineers within engagements, building team capability alongside delivery. * Collaborate closely with H2O.ai product and engineering teams to surface ...

ClifyX

Senior AIOpsML Engineer

Woodland Hills, CA · On-site

$110K - $151K/yr

... Mentor junior ML and data engineers, and conduct rigorous design reviews for new mart schemas and model architectures. Qualifications : Required : • Experience in building and scaling AIOps ...

3B Staffing LLC

AI/ML Engineers

Jersey City, NJ · On-site

$119K - $143K/yr

As an AI/ML Engineer, you will play a pivotal role in designing, developing, and deploying ... Provide mentorship and guidance to junior team members and contribute to the upskilling of the team.

3B Staffing LLC

AI/ML Engineers

Jersey City, NJ · On-site

$119K - $143K/yr

As an AI/ML Engineer, you will play a pivotal role in designing, developing, and deploying ... Provide mentorship and guidance to junior team members and contribute to the upskilling of the team.

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Junior Ml Engineer information

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$71.8K

$109.5K

How much do junior ml engineer jobs pay per year?

As of Sep 6, 2026, the average yearly pay for junior ml engineer in the United States is $71,799.00, according to ZipRecruiter salary data. Most workers in this role earn between $48,500.00 and $80,000.00 per year, depending on experience, location, and employer.

What is a junior ML engineer?

Junior ML Engineers are entry-level professionals who assist in designing, building, and deploying machine learning models under the supervision of more experienced engineers or data scientists. They typically work on data preprocessing, implementing algorithms, and supporting the maintenance and improvement of ML systems. Junior ML Engineers are expected to have foundational knowledge in programming, mathematics, and machine learning concepts, and they often gain hands-on experience by working on real-world projects as part of a team.

What are some common challenges faced by junior ML engineers in their first year on the job?

Junior ML Engineers often encounter challenges such as bridging the gap between academic knowledge and real-world applications, understanding complex data pipelines, and managing large datasets. They may also need to quickly learn company-specific tools and frameworks, as well as adapt to working in cross-functional teams with data scientists, software engineers, and product managers. Seeking mentorship, asking questions, and actively participating in team meetings can help overcome these hurdles and accelerate professional growth.

What are the key skills and qualifications needed to thrive as a junior ML engineer, and why are they important?

To thrive as a Junior ML Engineer, you need a strong foundation in programming (especially Python), statistics, and machine learning concepts, typically supported by a degree in computer science or a related field. Familiarity with ML libraries such as TensorFlow or PyTorch, experience with version control systems like Git, and certifications from platforms like Coursera or AWS can be advantageous. Strong problem-solving skills, curiosity, and effective communication help you collaborate with teams and learn quickly. These skills and qualities are essential to efficiently build, test, and deploy machine learning models that drive business value.

What is the difference between Junior ML Engineer vs Data Scientist?

AspectJunior ML EngineerData Scientist
Required CredentialsBachelor's in CS, Data Science, or related field; some experience with ML frameworksBachelor's or Master's in Data Science, Statistics, or related field; strong analytical skills
Work EnvironmentDeveloping and deploying ML models, coding, testingData analysis, modeling, interpreting data, creating reports
Employer & Industry UsageTech companies, startups, AI-focused firms

While both roles involve working with data and machine learning, a Junior ML Engineer primarily focuses on building and deploying ML models, often with coding and engineering tasks. A Data Scientist emphasizes data analysis, statistical modeling, and deriving insights. The roles overlap in skills and tools but differ in their core responsibilities and focus areas.

Are junior ML engineers still in demand?

Junior ML engineers are currently in demand as companies seek to develop and implement machine learning solutions. Skills in programming, data analysis, and familiarity with tools like Python and TensorFlow enhance job prospects in this growing field.

How much does a junior machine learning engineer earn?

A junior machine learning engineer typically earns between $70,000 and $100,000 annually, depending on location, education, and industry. Entry-level roles often require knowledge of programming languages like Python and familiarity with machine learning frameworks such as TensorFlow or PyTorch.

What does a junior machine learning engineer do?

A junior machine learning engineer assists in developing, testing, and deploying machine learning models under supervision. They work with data preprocessing, feature engineering, and use tools like Python and frameworks such as TensorFlow or PyTorch to support AI projects. The role often involves learning from senior engineers and gaining experience in model optimization and evaluation.
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Junior Ml Engineer jobs near you
Infographic showing various Junior Ml Engineer job openings in the United States as of August 2026, with employment types broken down into 93% Full Time, 3% Part Time, and 4% Contract. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution, with an average salary of $71,799 per year, or $34.5 per hour.

Sr AI/ML Engineer

Sierra Nevada Corporation

Lone Tree, CO • On-site

$106K - $146K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 2 days ago

Sierra Nevada Corporation rating

8.7

Company rating: 8.7 out of 10

Based on 29 frontline employees who took The Breakroom Quiz

16th of 72 rated aerospace companies

Job description

The Senior AI/ML Engineer is a highly skilled and experienced professional responsible for leading the development of complex AI/ML systems, driving innovation, and mentoring team members to deliver impactful solutions. In this role, you will oversee the design, implementation, and deployment of scalable AI/ML models for mission-critical aerospace and defense applications. You will also act as a technical leader, providing strategic guidance on AI/ML initiatives, ensuring compliance with regulatory standards, and collaborating with stakeholders to meet organizational objectives. This position demands advanced technical expertise and the ability to manage high-impact projects in a fast-paced environment.
As SNC's corporate team, we provide the company and its business areas with strategic direction and business support spanning executive management, finance and accounting, operations, human resources, legal, IT, information security, facilities, marketing, and communications.
Responsibilities:
  • Exploration & Innovation:
    • Conduct continuous discovery and hypothesis-driven experimentation, rapidly developing prototypes to assess feasibility and potential impact.
    • Partner with business stakeholders to translate non-technical requirements into actionable AI/ML exploration paths.
  • RAG-Focused AI/ML Development:
    • Develop and prototype RAG-based architectures, including embedding pipelines, retrieval strategies, and transformer-based generative components.
    • Explore and validate new approaches for retrieval, indexing, and multimodal document understanding.
    • Apply validation, safety, and explainability practices in support of aerospace/defense requirements.
  • MPC & Real-Time Decisioning Exploration:
    • Design and prototype MPC-aligned models incorporating predictive modeling, optimization, and reinforcement-learning-based control.
    • Develop signal processing, perception, and planning pipelines supporting MPC control loops.
    • Use GPU acceleration, simulation environments, and HPC resources to support MPC experimentation.
  • Advanced AI/ML Modeling & Technical Leadership:
    • Architect, train, and optimize advanced models including transformers, GANs, RL agents, and real-time systems.
    • Provide technical leadership, mentor engineers, and guide cross-functional teams.
  • Safety, Validation & Integration Support:
    • Develop validation and testing frameworks ensuring compliance with safety and reliability standards.
    • Support integration teams with prototypes, documentation, and technical insights as required.

Qualifications You Must Have:
  • Bachelor's degree in computer science, mathematics, applied statistics, various engineering disciplines, or related STEM discipline
  • 10+ years of experience in a related field.
  • Relevant experience can be considered as a substitute for the required educational qualifications. In the absence of a degree, a minimum of 12 years of related experience is required.
  • Higher level relevant degree may substitute for experience.
  • Advanced skills in machine learning frameworks (TensorFlow, PyTorch) and modern AI/ML techniques, including supervised, unsupervised, and reinforcement learning (e.g., PPO, Actor/Critic). Demonstrated ability to design and optimize generative AI models (e.g., transformers) and neural networks for complex applications.
  • Extensive experience architecting, deploying, and optimizing AI/ML systems, including ANNs, CNNs, and RNNs, in large-scale or mission-critical environments. Led efforts to improve model performance and reliability in production settings.
  • Strong proficiency in programming languages such as Python, C++, C# or Java, with experience in building scalable AI/ML systems.
  • Demonstrated experience leading teams or projects, including mentoring junior staff.
  • Proven track record of deploying AI/ML models in production environments and optimizing them for real-world use cases.
  • Knowledge of regulatory and cybersecurity requirements for AI/ML systems in aerospace and defense applications.
  • Experience designing and optimizing generative AI models including transformers and GANs.
  • Experience building or integrating transformer-based models for retrieval-augmented or hybrid reasoning systems.
  • Proficiency designing embedding, retrieval, or indexing pipelines for large, multi-source datasets.
  • Familiarity with explainable AI (XAI) techniques for safety-critical environments.
  • Hands-on experience with reinforcement learning and real-time systems applicable to MPC.

Qualifications We Prefer:
  • Master's degree + additional years experience, or Ph.D. in Artificial Intelligence, Machine Learning, or a related field.
  • Experience with hardware acceleration technologies (e.g., CUDA, TensorRT) and high-performance computing systems.
  • Background in autonomous systems, robotics, or sensor fusion.
  • Familiarity with Agile/DevOps methodologies for software development.
  • Certifications in AI/ML or related fields, such as AWS Certified Machine Learning Specialty or Google Professional Machine Learning Engineer.
  • Deep understanding and practical application of Agile/DevOps in large-scale AI/ML projects.
  • Demonstrated experience with reinforcement learning and generative AI models in production or research settings.
  • Advanced proficiency in GPU programming, parallel/distributed computing, and optimizing ML workloads for performance.
  • Expertise in designing and implementing complex ML pipelines, including clustering, dimensionality reduction, generative modeling, and reinforcement learning, aligned to mission objectives and HMI systems.
  • Skilled in analyzing massive, multi-source datasets and delivering end-to-end autonomy software solutions, from requirements to deployment and maintenance.
  • Working knowledge of hardware acceleration technologies (CUDA, TensorRT), edge AI deployments, and explainable AI (XAI) methods.
  • Exposure to or interest in quantum computing for ML applications.

Essential Functions:
  • Contribute to AI/ML innovation and prototyping projects from exploration through technical feasibility assessment.
  • Support cross-functional engineering teams and integration efforts as needed.
  • Travel occasionally (10-20%) to customer sites, test facilities, or conferences.
  • Work in a hybrid office environment, balancing hands-on research with technical leadership.
  • Ensure compliance with safety, regulatory, and cybersecurity standards for AI/ML systems.

This posting will be open for application for a minimum of 5 days and may be extended based on business needs.
Estimated Starting Salary Range: $143,487.14 - $197,294.82. Compensation varies depending on a wide array of factors, such as candidates' key skills, relevant work experience, and education/training/certifications. The disclosed range estimate may be adjusted for any applicable geographic differential associated with the location at which the position may be filled.
SNC offers annual incentive pay based upon performance that is commensurate with the level of the position.
SNC offers a generous benefit package, including medical, dental, and vision plans, 401(k) with 150% match up to 6%, life insurance, 3 weeks paid time off, tuition reimbursement, and more.
IMPORTANT NOTICE:
This position requires the ability to obtain and maintain a Secret U.S. Security Clearance. U.S. Citizenship status is required as this position needs an active U.S. Security Clearance for employment. Non-U.S. citizens may not be eligible to obtain a security clearance. The Department of Defense Consolidated Adjudications Facility (DoD CAF), a federal government agency, handles the adjudicative aspects of the security clearance eligibility process for industry applicants. Adjudicative factors which affect the outcome of the eligibility determination include, but are not limited to, allegiance to the U.S., foreign influence, foreign preference, criminal conduct, security violations and illegal drug use.
Learn more about the background check process for Security Clearances.
SNC is a global leader in aerospace and national security committed to moving the American Dream forward. We're known and respected for our mission and execution focus, agility, and disruptive and rapid innovation. We provide leading edge technologies and transformative solutions that support our nation's most critical security needs. If you are mission-focused, thrive in collaborative environments, and want to make our country stronger with state-of-the-art technologies that safeguard freedom, join our team!
SNC is an Equal Opportunity Employer committed to an environment free of discrimination. Employment decisions are made based on merit without regard to race, color, age, religion, sex, national origin, disability, status as a protected veteran or other characteristics protected by law.

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