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Flexible Remote Machine Learning Engineer Jobs in Irvine, CA

FieldAI

Senior Software Engineer, MLOps

Irvine, CA · On-site +1

$131K - $173K/yr

You will work closely with machine learning engineers, robotics engineers, and infrastructure teams ... Also, while we enjoy being together on-site, we are open to exploring a hybrid or remote option.

FieldAI

Senior Software Engineer, MLOps

Irvine, CA · On-site +1

$131K - $173K/yr

You will work closely with machine learning engineers, robotics engineers, and infrastructure teams ... Also, while we enjoy being together on-site, we are open to exploring a hybrid or remote option.

Corvel

Data Scientist II

Irvine, CA · On-site +1

$82K - $127K/yr

This individual will be focused on designing, building, and deploying machine learning models and ... Working closely with product managers, engineering teams, and business stakeholders, this position ...

Corvel

Data Scientist II

Irvine, CA · On-site +1

This individual will be focused on designing, building, and deploying machine learning models and ... Working closely with product managers, engineering teams, and business stakeholders, this position ...

Corvel

Data Science Manager

Irvine, CA · Remote

This individual has expertise in machine learning, statistical modeling, and data visualization to ... This is a remote position. ESSENTIAL FUNCTIONS & RESPONSIBILITIES: * Design, build, train, and ...

Vocalytics

Sr. Full Stack Engineer

Newport Beach, CA · On-site +1

Our engineering team supports multiple hospitals, commercial real estate, and other enterprise ... We also have teams working on embedded systems, computer vision, machine learning, mobile ...

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Flexible Remote Machine Learning Engineer information

See Irvine, CA salary details

$33.8K

$138.2K

$207.7K

How much do flexible remote machine learning engineer jobs pay per year?

As of Aug 24, 2026, the average yearly pay for flexible remote machine learning engineer in Irvine, CA is $138,220.00, according to ZipRecruiter salary data. Most workers in this role earn between $108,900.00 and $166,400.00 per year, depending on experience, location, and employer.

What is a flexible remote machine learning engineer?

A Flexible Remote Machine Learning Engineer is a professional who designs, builds, and deploys machine learning models while working remotely, often with flexible hours. They use programming, data analysis, and statistical skills to create algorithms that solve real-world problems, collaborating with teams through digital communication tools. This role allows for a better work-life balance and can be performed from anywhere with a reliable internet connection. Flexible remote positions are especially popular in the tech industry, where project-based work and results matter more than strict office hours.

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

To thrive as a Flexible Remote Machine Learning Engineer, you need strong programming skills (especially in Python), a solid understanding of machine learning algorithms, and typically a degree in computer science or a related field. Familiarity with tools like TensorFlow, PyTorch, cloud platforms (AWS, GCP, or Azure), and experience with data pipelines are essential, and certifications in machine learning or cloud technologies can be advantageous. Excellent communication, self-motivation, and time management skills help you collaborate effectively and stay productive in a remote, flexible work environment. These skills ensure you can independently deliver high-quality ML solutions, maintain clear team communication, and adapt to evolving project requirements.

How does a flexible remote work arrangement impact collaboration and project delivery for machine learning engineers?

In a flexible remote setting, Machine Learning Engineers often rely on digital collaboration tools to communicate with team members and manage projects. This setup allows for asynchronous work, enabling engineers to focus deeply on model development and data analysis without constant interruptions. However, it also means proactively scheduling check-ins and maintaining clear documentation are crucial to ensure alignment across distributed teams. While remote work offers autonomy and work-life balance, successful engineers build strong communication habits to keep projects on track and foster effective collaboration with data scientists, product managers, and software engineers.

What is the difference between Flexible Remote Machine Learning Engineer vs Data Scientist?

AspectFlexible Remote Machine Learning EngineerData Scientist
Required CredentialsBachelor's or higher in CS, ML, or related fields; experience with ML frameworksBachelor's or higher in CS, Statistics, or related fields; proficiency in data analysis
Work EnvironmentRemote, collaborative teams, project-basedRemote or on-site, data analysis-focused
Industry UsageTech, finance, healthcare, e-commerceTech, marketing, finance, research
Common Search IntentRoles involving ML model development and deploymentRoles focused on data analysis and insights

The main difference is that a Flexible Remote Machine Learning Engineer primarily develops and deploys machine learning models, while a Data Scientist focuses on analyzing data to generate insights. Both roles often require similar educational backgrounds and can be remote, but their core responsibilities differ in application and focus.

What are popular job titles related to Flexible Remote Machine Learning Engineer jobs in Irvine, CA?

For Flexible Remote Machine Learning Engineer jobs in Irvine, CA, the most frequently searched job titles are:

What job categories do people searching Flexible Remote Machine Learning Engineer jobs in Irvine, CA look for?

The top searched job categories for Flexible Remote Machine Learning Engineer jobs in Irvine, CA are:

What cities near Irvine, CA are hiring for Flexible Remote Machine Learning Engineer jobs?

Cities near Irvine, CA with the most Flexible Remote Machine Learning Engineer job openings:

Flexible Remote Machine Learning Engineer jobs near you

Senior Machine Learning Engineer, Sentry Tower

Anduril Industries

Irvine, CA • On-site, Remote

$122K - $168K/yr

Full-time

Re-posted 4 days ago

Anduril rating

9.1

Company rating: 9.1 out of 10

Anduril

Based on 17 frontline employees who took The Breakroom Quiz

7.4

Company rating compared to similar companies: 7.4 out of 10

Manufacturers average

Based on 76,028 frontline employees who took The Breakroom Quiz

Job description

About the Team

The Counter Intrusion MSE team develops systems that provide force protection capabilities, monitoring the perimeter of secure areas, land or sea, for approaching people, vehicles, and vessels. We live in a world where security officers are increasingly overwhelmed by sensor data feeds. Our products leverage advanced sensor fusion and autonomy to seamlessly render activity in the environment to Lattice's common operating picture. This relieves operators of our system from a ton of burden and allows our customers to get more done with fewer personnel. Increasingly, Counter Intrusion MLEs are working on projects to bring customers' existing legacy security systems into the Lattice ecosystem. Key to this effort is building scalable software solutions so that we can service many customers without requiring bespoke software for each one. The Counter Intrusion team is responsible for the development, testing, deployment, and sustainment of our family of systems. We work closely with other teams from product, engineering, sales, logistics, operations, and mission success.

About the Role

We are looking for a Machine Learning Engineer to apply the latest research to solve our toughest problems. This role will be responsible for owning the whole machine learning stack for the Counter Intrusion team. You will design and train multi-sensor object detection models for perception on edge compute devices that push the boundaries of what's possible with our sensors. You will develop learning algorithms to optimize the behavior of autonomous systems. You will also be responsible for the end-to-end design, implementation, and performance of the ML stack, including the infrastructure for data collection and training. Your work will directly impact Anduril's ability to deliver cutting-edge defense technology, with the opportunity to identify and develop novel ML applications across our product portfolio.

Responsibilities
  • Propose and prototype innovative solutions to solve real-world problems, leveraging the latest state-of-the-art techniques in the field
  • Develop and maintain core ML pipelines
  • Train and deploy deep learning models for real-time applications
  • Collaborate cross-functionally with camera, systems and labeling teams
  • Curate datasets for evaluating performance and comparing performance trends over time
  • Provide technical mentorship to other junior ML engineers
Required Qualifications
  • MS or PhD in Machine Learning, Robotics or Computer Science, with emphasis on Computer Vision
  • BS in Computer Science, Machine Learning, Electrical Engineering, or related field
  • 6+ years of experience developing, benchmarking and optimizing ML algorithms on large-scale datasets
  • Strong Deep Learning and CV background
  • Proficiency in C++ development in a Linux environment
  • Experience with Python development and deep learning frameworks such as PyTorch, JAX and TensorFlow
  • Experience deploying models with TensorRT and ONNX
  • Optimize on-device inference and vision kernels across CPU/GPU/NPU
  • Track record of developing and deploying CV models from R&D to production
  • Experience writing and maintaining automated continuous integration tests
  • Knowledge of system profiling and tuning for latency, memory and power efficiency
  • Ability to conduct experiments, ablation studies and create highly detailed reports
  • Eligible to obtain and maintain a U.S. Secret security clearance
Preferred Qualifications
  • Experience in one or more of the following:
    • Object Detection, Object Tracking, Instance Segmentation, Semantic Segmentation, Semantic Change Detection, Depth Estimation, Model Pruning and Compression
  • Experience in one or more of the following:
    • Visual Odometry, SLAM, Multi-view Geometry, Camera Models, RGB-D and LIDAR Sensor Fusion, Optical Flow
  • Experience troubleshooting and analyzing remotely deployed software systems
  • 1 year of experience in a technical leadership role

Working at Anduril

About Anduril, in their own words

From Anduril

As the world enters an era of strategic competition, Anduril delivers cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the warfighter in months, not years.

What Anduril employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Anduril Industries logo

About Anduril Industries

Sourced by ZipRecruiter

Anduril Industries is a trailblazer in the technology industry based in Costa Mesa, CA, US. Founded in 2017 by Palmer Luckey, the creator of Oculus VR, the company focuses on developing innovative technology to equip and empower those in the defense sector. Its primary products include cutting-edge autonomous systems and AI software that assist in combating threats to national and global security. The mission of Anduril Industries is to integrate technology and defense by building transformative, scalable solutions that ensure a safer world.

Industry

Guided missile and space vehicle manufacturing

Company size

501 - 1,000 Employees

Headquarters location

Costa Mesa, CA, US

Year founded

2017

Social media

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