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Applied Machine Learning Engineer Jobs (NOW HIRING)

Apple

Sr. Machine Learning Engineer

Santa Clara, CA · On-site

$143K - $189K/yr

As an Applied ML team, we are pushing the boundaries to provide our users with the utmost optimal ... Our team comprises a diverse range of backgrounds, including applied machine learning engineers ...

EvolutionIQ

Senior Applied Machine Learning Engineer

Manhattan, NY · On-site

$134K - $177K/yr

  • Medical

  • Dental

  • Retirement

  • PTO

Who are you? A machine learning engineer who wants to work in the areas of machine learning ... of applied ML project from conception to shipping (1 or more) Acted as part of an ML team that ...

DEKA

Machine Learning Engineer

Manchester, NH · On-site

We're looking for a Machine Learning Engineer who can operate at the intersection of backend engineering and applied machine learning. If you want to design distributed systems, deploy production ML ...

iHerb

Principal Machine Learning Engineer

California, MO · On-site

$205 - $230/hr

The Machine Learning Engineer will partner closely with Data Scientists, Applied Scientists, and Software Developers to ensure predictive models make business impact. Responsibilities * Partner with ...

Velo3D

Machine Learning Engineer

Fremont, CA

$150K - $220K/yr

We are particularly interested in candidates with scientific, engineering, or technical backgrounds who have applied machine learning to complex real-world problems involving sensor data, physical ...

Abaka AI

Machine Learning Engineer

Mountain View, CA · On-site

Required : • Strong academic background in computer science, artificial intelligence, machine learning, or related fields. • 3+ years of experience in applied machine learning or ML engineering ...

Velo3D

Machine Learning Engineer

Fremont, CA

$150K - $220K/yr

  • Medical

  • Retirement

We are particularly interested in candidates with scientific, engineering, or technical backgrounds who have applied machine learning to complex real-world problems involving sensor data, physical ...

Abaka AI

Machine Learning Engineer

Mountain View, CA · On-site

Required : • Strong academic background in computer science, artificial intelligence, machine learning, or related fields. • 3+ years of experience in applied machine learning or ML engineering ...

Velo3D

Machine Learning Engineer

Fremont, CA · On-site

$150K - $220K/yr

  • Medical

  • Retirement

We are particularly interested in candidates with scientific, engineering, or technical backgrounds who have applied machine learning to complex real-world problems involving sensor data, physical ...

Spotify

Senior Machine Learning Engineer - Ads R&D

$107K - $146K/yr

Required : • Professional experience in applied machine learning • Strong technical expertise in software engineering, data analysis, and machine learning • Proficient in programming languages ...

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Showing results 21-40

All JobsApplied Machine Learning Engineer Jobs

Applied Machine Learning Engineer information

See salary details

$31.5K

$128.8K

$193.5K

How much do applied machine learning engineer jobs pay per year?

As of Aug 14, 2026, the average yearly pay for applied machine learning engineer in the United States is $128,769.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,500.00 and $155,000.00 per year, depending on experience, location, and employer.

What are some common challenges an applied machine learning engineer faces when transitioning models from research to production?

Applied Machine Learning Engineers often encounter challenges such as ensuring models perform robustly with real-world data, optimizing for computational efficiency, and integrating with existing engineering infrastructure. Unlike research prototypes, production models must handle scalability, latency, and reliability concerns. Collaborating closely with data engineers, software developers, and product managers is essential to address these obstacles and ensure seamless deployment and ongoing monitoring.

What are the key skills and qualifications needed to thrive as an applied machine learning engineer?

To thrive as an Applied Machine Learning Engineer, you need strong programming skills (especially in Python), a solid understanding of statistics, algorithms, and machine learning concepts, typically backed by a degree in computer science, engineering, or a related field. Familiarity with machine learning frameworks (like TensorFlow or PyTorch), cloud platforms, and version control systems, as well as experience with data preprocessing, are essential. Problem-solving ability, effective communication, and the ability to work collaboratively make someone stand out in this role. These skills are crucial for designing, implementing, and deploying robust ML solutions that address real-world business challenges.

What does an applied machine learning engineer do?

An Applied Machine Learning Engineer designs, develops, and implements machine learning models to solve real-world problems. They work closely with data scientists, software engineers, and business stakeholders to deploy scalable and efficient machine learning solutions. Their responsibilities include selecting appropriate algorithms, preprocessing data, training models, evaluating performance, and integrating models into production systems. They also monitor and maintain these systems to ensure they deliver accurate and reliable results over time.
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What job categories do people searching Applied Machine Learning Engineer jobs look for?

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Applied Machine Learning Engineer jobs near you
Infographic showing various Applied Machine Learning Engineer job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $128,769 per year, or $61.9 per hour.

Machine Learning Engineer (Egocentric 3D Human Pose)

Maxinsights Corporation

Santa Clara, CA • On-site

$125 - $180/hr

Other

Posted 15 days ago

Job description

Machine Learning Engineer

Location: Santa Clara

Full Time

The Role

We are looking for a Machine Learning Engineer to join our core team building scalable ML systems for real-world perception and embodied intelligence.

In this role, you will work on end-to-end machine learning systems, spanning data collection, model training, evaluation, and deployment. You will collaborate closely with researchers, engineers and product teams to turn complex real-world data into robust, production-ready ML solutions.

This role is well-suited for engineers who enjoy working across the ML stack, are comfortable operating in ambiguous problem spaces, and are excited about applying modern deep learning methods to real-world perception, human-centric, and embodied AI problems.

Responsibilities
  • Design, build, and own end-to-end machine learning systems, from data exploration and model development to evaluation and deployment on large-scale, real-world data.
  • Apply state-of-the-art ML techniques to new problem domains and optimize models and pipelines for performance, efficiency, and reliability in production environments.
  • Drive measurable improvements in model performance, system robustness, and product capabilities through applied machine learning.
  • Collaborate closely with cross-functional teams to translate research ideas and product requirements into scalable ML solutions.
  • Contribute to technical design, code quality, and best practices, and help shape the long‑term direction of the company’s machine learning platform.
Minimum Qualifications
  • Bachelor’s, Master’s, or PhD in Computer Science, Machine Learning, or a related technical field, or equivalent practical experience.
  • 3+ years of experience building and shipping machine learning systems.
  • Strong proficiency in Python and experience with at least one major deep learning framework (e.g., PyTorch, TensorFlow).
  • Solid understanding of modern deep learning concepts, training workflows, model evaluation, and experience working with real-world, production-oriented ML pipelines.
  • Strong problem‑solving skills and ability to work effectively in a fast‑moving, collaborative environment.
Preferred Qualifications
  • PhD in a relevant field with a research focus in robot learning, embodied AI, or visual perception.
  • Experience with end‑to‑end ML systems, including data collection, training, inference, and deployment.
  • Background in computer vision, perception, or multi‑modal machine learning, including egocentric or human‑centric perception.
  • Familiarity with large‑scale training, experimentation infrastructure, or production ML systems.
  • Ability and interest in learning new problem domains, data modalities, and ML techniques quickly.
  • Publication(s) in leading venues, open‑source contributions, or demonstrated impact in applied ML or AI systems.
What We Offer
  • Opportunity to work on challenging, high‑impact projects that define the future of robotics and embodied AI.
  • A collaborative, innovative, and fast‑paced work environment.
  • Competitive salary and options package.
  • A clear path for career growth in technical leadership.
  • Direct collaboration with leading experts in the field of robotics and AI.

MaxInsights is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

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