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Machine Learning Specialist Jobs (NOW HIRING)

FM

Senior Learning Specialist

Norwood, MA · On-site

$120K/yr

  • Medical

  • Retirement

Responsible for delivering technical boiler and machinery courses and for maintaining the highest ... on learning. Responsible for all aspects of technical education and development, including ...

FM

Senior Learning Specialist

Norwood, MA · On-site

$120K - $203K/yr

  • Medical

  • Retirement

Responsible for delivering technical boiler and machinery courses and for maintaining the highest ... and hands‑on learning. Responsible for all aspects of technical education and development ...

Capital Rx

Senior Machine Learning Engineer

Denver, CO · On-site

$161K - $202K/yr

Collaborate with product managers, engineers, and other stakeholders as a specialist and subject matter expert in machine learning. * Work across the complete lifecycle of ML model development ...

Capital Rx

Senior Machine Learning Engineer

Manhattan, NY · On-site

$161K - $202K/yr

Collaborate with product managers, engineers, and other stakeholders as a specialist and subject matter expert in machine learning. * Work across the complete lifecycle of ML model development ...

Capital Rx

Senior Machine Learning Engineer

Charlotte, NC · On-site

$161K - $202K/yr

Collaborate with product managers, engineers, and other stakeholders as a specialist and subject matter expert in machine learning. * Work across the complete lifecycle of ML model development ...

AppFolio

CO

... across specialist agents (e.g., maintenance, leasing, accounting, collections). * Improve the ... D. in Computer Science, Machine Learning, or a related field (required). * 10+ years of experience ...

AppFolio

Principal Machine Learning Engineer

Denver, CO · On-site

... across specialist agents (e.g., maintenance, leasing, accounting, collections). * Improve the ... D. in Computer Science, Machine Learning, or a related field (required). * 10+ years of experience ...

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Machine Learning Specialist information

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$20.5K

$53.9K

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How much do machine learning specialist jobs pay per year?

As of Aug 16, 2026, the average yearly pay for machine learning specialist in the United States is $53,925.00, according to ZipRecruiter salary data. Most workers in this role earn between $39,000.00 and $60,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a machine learning specialist?

To thrive as a Machine Learning Specialist, you need a strong background in mathematics, programming (Python, R), and data analysis, typically supported by a relevant degree in computer science or a related field. Experience with machine learning frameworks such as TensorFlow, PyTorch, and knowledge of cloud platforms like AWS or Azure is highly valued, and certifications in these can enhance your qualifications. Strong problem-solving skills, curiosity, and the ability to communicate complex concepts clearly make someone stand out in this field. These skills and qualifications are crucial for effectively developing, deploying, and explaining machine learning solutions to diverse stakeholders.

What is a machine learning specialist?

A Machine Learning Specialist is a professional who designs, develops, and implements machine learning models and algorithms to solve complex problems. They work with large datasets, use statistical and computational techniques, and optimize models for accuracy and efficiency. Their role often involves data preprocessing, feature engineering, model selection, and deployment. They collaborate with data scientists, software engineers, and domain experts to integrate machine learning solutions into business applications.

Is machine learning a high paying job?

Machine learning specialists are generally among the higher-paid roles in the tech industry due to their specialized skills in algorithms, data analysis, and programming languages like Python and TensorFlow. Salaries vary based on experience, location, and industry, but the role typically offers competitive compensation compared to many other tech positions.

What are some common challenges a machine learning specialist might face?

Machine Learning Specialists often encounter challenges such as ensuring data quality, selecting appropriate algorithms, and scaling solutions for real-world application. Navigating the complexities of messy or incomplete datasets and tuning models for optimal performance can be demanding. Balancing innovation with practical deployment constraints, such as computational resources and integration with existing systems, is also common. To address these challenges, collaboration with data engineers, domain experts, and product teams is essential, and ongoing professional development helps specialists stay ahead in this rapidly evolving field.

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Machine Learning Specialist jobs near you
Infographic showing various Machine Learning Specialist job openings in the United States as of August 2026, with employment types broken down into 75% Full Time, and 25% Nights. Highlights an 100% In-person job distribution, with an average salary of $53,925 per year, or $25.9 per hour.

Senior Machine Learning Operations Engineer

ZeroMark, Inc.

Manhattan, NY • On-site

$115K - $158K/yr

Full-time

Re-posted 12 days ago

Job description

Job Summary:
ZeroMark, Inc. builds AI-driven counter-drone systems that work in combat. They are seeking a Senior Machine Learning Operations Engineer to design and implement machine learning pipelines, collaborate with software engineers, and mentor junior engineers in a fast-paced environment.
Responsibilities:
• Design, develop, and implement end-to-end machine learning pipelines, from data ingestion and preprocessing to model training, evaluation, and deployment.
• Collaborate with the general software engineering team to integrate ML models into existing software systems and ensure scalability and maintainability.
• Work in conjunction with computer vision specialists to apply and optimize ML techniques for image and video analysis, object detection, tracking, and recognition in defense contexts.
• Research and evaluate new machine learning algorithms, tools, and technologies to enhance our capabilities and solve challenging problems.
• Perform rigorous model testing, validation, and performance tuning to ensure robustness and accuracy in real-world scenarios.
• Contribute to the development of best practices for ML engineering, including MLOps, version control, and reproducible research.
• Mentor junior engineers and contribute to a culture of continuous learning and knowledge sharing.
• Communicate technical concepts effectively to both technical and non-technical stakeholders.
Qualifications:
Required:
• Education: Bachelor's or Master's degree in Computer Science, Machine Learning, Artificial Intelligence, or a related quantitative field.
• Experience: 5+ years of experience in machine learning engineering, with a proven track record of deploying ML models in production environments.
• Technical Skills: Strong proficiency in Python and relevant ML libraries (e.g., TensorFlow, PyTorch, scikit-learn).
• Technical Skills: Solid understanding of core machine learning concepts, including supervised, unsupervised, and reinforcement learning.
• Technical Skills: Experience with various machine learning model architectures and their application (e.g., CNNs, RNNs, Transformers, decision trees, support vector machines).
• Technical Skills: Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and containerization technologies (e.g., Docker, Kubernetes).
• Technical Skills: Experience with MLOps tools and practices.
• Technical Skills: Experience deploying a variety of edge systems.
• Technical Skills: Experience with TensorRT and other similar technologies.
• Technical Skills: Deep knowledge of C++ and Python.
• Domain Knowledge: Experience or strong interest in defense, aerospace, or related industries is highly desirable.
• Domain Knowledge: Understanding of the unique challenges and considerations for deploying ML in defense applications (e.g., adversarial robustness, real-time constraints, data security).
• Collaboration & Communication: Excellent communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams.
• Collaboration & Communication: Ability to translate complex technical concepts into clear and concise language.
• Problem-Solving: Strong analytical and problem-solving skills, with a proactive and innovative approach.
• Problem-Solving: Ability to work independently and manage multiple priorities in a fast-paced environment.
Preferred:
• Experience with specific computer vision tasks such as object detection, segmentation, or tracking.
• Familiarity with real-time ML systems and embedded systems.
• Contributions to open-source projects or publications in relevant fields.
Company:
ZeroMark empowers US and allied forces with cutting-edge defense technology, elevating mission success and safeguarding personnel. Founded in 2022, the company is headquartered in New York, USA, with a team of 2-10 employees. The company is currently Early Stage.

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