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Remote Senior Machine Learning Engineer Jobs in Long Beach, CA

Senior Platform Engineer

Los Angeles, CA ยท On-site +1

$112K - $154K/yr

... remote work days. The Role EDO is looking for a Senior Platform Engineer to help accelerate our ... machine learning engineers ship safely and efficiently. Our environment is AWS-heavy and data ...

Sr. Engineer II - Software Design

Irvine, CA ยท Remote

$130K - $172K/yr

... remote diagnostics, and telematics functionalities. * Write efficient and optimized code in ... Develop and implement machine learning algorithms to enhance AI capabilities. * Research and ...

Senior Civil Engineer - Level 4

Irvine, CA ยท On-site +1

$145K - $170K/yr

Remote SENIOR CIVIL ENGINEER LEVEL 4 Hanwha Qcells USA Corp (Qcells USA), headquartered in Irvine, CA, specializes in providing utility-scale modules, solar photovoltaic (PV), and battery energy ...

Senior Engineer

Los Angeles, CA ยท On-site +1

$135K - $175K/yr

Remote At Magnite, we cultivate an environment of continuous growth and collaboration. Our work ... Through a combination of near-real-time data pipelines, machine learning techniques, and real-time ...

Senior Estate Planning Attorney -- Remote -- Up to $300k Total Comp -- California This Jobot Job is ... families, developers, municipalities, and closely held businesses. Our practice covers estate ...

Data Scientist II

Irvine, CA ยท 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 ...

Data Scientist II

Irvine, CA ยท 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 ...

... s Full-Stack Engineer with expertise in IaC (Terraform), Helm, MySQL, Kubernetes, and CI/CD ... Experience with AI/machine learning technologies is strongly preferred. * Familiarity with TCP/IP ...

We are seeking a sr. full-stack engineer to help build the next version of our platform. This is a ... We also have teams working on embedded systems, computer vision, machine learning, mobile ...

We are seeking a sr. full-stack engineer to help build the next version of our platform. This is a ... We also have teams working on embedded systems, computer vision, machine learning, mobile ...

Sr. Data Engineer

El Segundo, CA ยท On-site +1

$140K - $150K/yr

Familiarity with machine learning concepts and how they integrate with data engineering workflows ... Varied for retail, fulfillment and fully remote roles. The annual basesalary range for this ...

Showing results 41-60

Remote Senior Machine Learning Engineer information

See Long Beach, CA salary details

$79.4K

$150.7K

$201.9K

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

As of Aug 19, 2026, the average yearly pay for remote senior machine learning engineer in Long Beach, CA is $150,667.00, according to ZipRecruiter salary data. Most workers in this role earn between $128,800.00 and $169,800.00 per year, depending on experience, location, and employer.

What does a remote senior machine learning engineer do?

A Remote Senior Machine Learning Engineer designs, develops, and deploys machine learning models and systems while working from a location outside the traditional office. They collaborate with cross-functional teams, analyze large datasets, build scalable algorithms, and often mentor junior engineers. Their work helps organizations automate processes, gain insights, and improve products or services using data-driven approaches. Senior engineers are also responsible for ensuring model performance, reliability, and integration into production environments. Working remotely, they use various communication and collaboration tools to stay connected with their team.

How do remote senior machine learning engineers typically collaborate with cross-functional teams despite working remotely?

Remote Senior Machine Learning Engineers often work closely with data scientists, product managers, and software engineers using digital collaboration tools such as Slack, Jira, and video conferencing platforms. Regular virtual meetings and code reviews are standard practices to ensure alignment on project goals and to facilitate knowledge sharing. Clear communication, proactive documentation, and adaptability to different time zones are key to effective teamwork in a remote environment. This structure allows for flexibility while maintaining strong collaboration and project momentum.

What are the key skills and qualifications needed to thrive as a remote senior machine learning engineer, and why are they important?

To thrive as a Remote Senior Machine Learning Engineer, you need deep expertise in machine learning algorithms, statistical analysis, and strong programming skills (often in Python or similar languages), typically supported by a degree in computer science or a related field. Familiarity with tools such as TensorFlow, PyTorch, cloud platforms (AWS, GCP, or Azure), and experience with data engineering pipelines are commonly required, along with certifications like TensorFlow Developer or AWS Machine Learning Specialty. Excellent problem-solving, communication, and self-management skills help you collaborate remotely, lead projects, and explain complex models to stakeholders. These skills and qualities are vital for building scalable ML solutions, ensuring effective teamwork across distributed environments, and delivering impactful results.

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

AspectRemote Senior Machine Learning EngineerRemote Data Scientist
Required CredentialsBachelor's/Master's in CS, ML, or related; experience with ML frameworksBachelor's/Master's in Statistics, Data Science, or related; strong analytical skills
Work EnvironmentDevelops and deploys ML models, collaborates with engineering teamsAnalyzes data, builds statistical models, provides insights
Employer & Industry UsageTech companies, startups, AI-focused firmsResearch institutions, tech companies, finance, healthcare

Remote Senior Machine Learning Engineers focus on designing, building, and deploying ML models, often working closely with engineering teams. Data Scientists analyze data and develop insights, but may not always deploy models. Both roles require strong technical skills and are highly sought after in tech industries, but their core responsibilities differ.

What are popular job titles related to Remote Senior Machine Learning Engineer jobs in Long Beach, CA?

For Remote Senior Machine Learning Engineer jobs in Long Beach, CA, the most frequently searched job titles are:

What job categories do people searching Remote Senior Machine Learning Engineer jobs in Long Beach, CA look for?

The top searched job categories for Remote Senior Machine Learning Engineer jobs in Long Beach, CA are:

What cities near Long Beach, CA are hiring for Remote Senior Machine Learning Engineer jobs?

Cities near Long Beach, CA with the most Remote Senior Machine Learning Engineer job openings:

Systems Principal Automation Engineer

Login Consulting Services, Inc.

Monrovia, CA โ€ข On-site, Remote

Full-time

Re-posted 28 days ago


Job description

A leading manufacturer of equipment and systems for resistance welding, laser welding, laser marking, laser cutting, laser micromachining, and hot bar bonding, located in Monrovia, CA, is seeking a Systems Principal Automation Engineer for a full time role.
SUMMARY:
The Systems Operations department delivers integrated, intelligent systems using our 3D, Define-Design-Deliver, philosophy. The Systems Principal Automation Engineer (Principal Engineer) serves as the senior-most technical authority for software architecture, advanced controls, artificial intelligence and machine-learning systems, SCADA/HMI platforms, machine vision, and high reliability industrial automation in Systems Operations.
This position operates with minimal guidance from leadership and establishes technical direction across multidisciplinary engineering teams

Task assignments, project schedules, and backlog priorities are directed through the Engineering Services Manager or delegated Systems Operations technical leadership (Proposal Manager, Engineering Manager, and Automation Lead). The Principal Engineer is expected to selfโ€‘manage execution of these tasks with minimal oversight, driving technical quality, architecture decisions, and integration outcomes across Systems Operations.
RESPONSIBILITIES:
Engineering:
The Principal Engineer will be assigned programming needs for production backlog and development projects.
Architect and develop advanced software systems supporting automation, motion control, machine
vision, SCADA, safety systems, and distributed industrial operations.
Architect SCADA/HMI systems for live visualization, diagnostics, alarms, and remote operations.
Develop industrial data acquisition, historians, and plant-wide data networking (FactoryTalk, IIoT,
MQTT)
Lead machine learning and AI development initiatives using PyTorch, TensorFlow, OpenCV, and/or HALCON.
Develop classical and deep learning machines and vision applications using OpenCV or HALCON with custom neural networks or pipelines.
Oversee dataset design, labeling workflows, training pipelines, and model validation/testing.
Integrate edge AI hardware and accelerators or embedded inference engines.
Design and validate real-time controls integrations across PLCs, CNCs, motion controllers, and industrial network systems.
Develop industrial communication handshakes in Modbus TCP, OPC-UA, TCP/IP, Serial, or other fieldbus protocols.
Ensure compliance with UL, CE, and NFPA standards governing safety and controls engineering.
Lead development of machine-learning models for inspection, anomaly detection, automation
optimization, and predictive intelligence within Systems Operations.
Design operator interfaces using WinForms, WPF, .NET, and industrial panel platforms.
Author and enforce software architecture standards, reusable libraries, modular frameworks, and
support strategies.
Utilize Azure DevOps for task assignments, backlog execution, tracking, code review, and revision
control across projects.
Other projects and tasks assigned by the company from time to time.
Project Engineering:
Work in and foster a team environment with other engineers, production, QA, test, materials
control, contract management, and sales personnel.
Support and develop new software under direction of management.
Prepare interface and functionality documentation for software modules.
Develop and report on project plans and schedules for software development work.
Prepare detailed engineering release documents and compliance documents.
Software and Controls Development:
Analyze and recommend improvements to our present software development and design control
methodology.
Mentor software and controls engineers on architecture, design patterns, and quality standards.
Guide the team in adoption of emerging automation and AI technologies.
Supervisory Responsibilities: This job has no supervisory responsibilities.
POSITION REQUIREMENTS:
Expert-level C# and .NET development experience.
Expert-level understanding of Rockwell Automation software, specifically Studio 5000 Logix
Designer, RSLogix 500 and 5000.
Deep expertise in software architecture, distributed systems, machine learning, computer vision, SCADA/HMI platforms, and realโ€‘time industrial automation environments
o Experience with FactoryTalk View or database integration to move data between the PLC
and .NET layers.
Proven ability to integrate using industrial communication protocols.
Ability to interpret electrical, pneumatic, and mechanical drawings to support software and controls
design.
Exceptional communication skills: this role will be communicating daily with internal and external
customers across multiple disciplines.
Routine adjustment of working hours to support remote login of our worldwide customer base.
Ability to travel occasionally.
EDUCATION & EXPERIENCE:
Four-year degree in STEM degree or related discipline
o Master"s or PhD preferred.
10+ years in complex software architecture, automation systems, and controls engineering.
5+ years" experience in machine vision and AI/ML development.
Project management training or certification (e.g., PMI, Agile) preferred.
OTHER QUALIFICATIONS:
Attention to detail and being flexible to manage multiple tasks independently.
Excellent verbal and written communication skills.
Exceptional organization and time management skills.
Proven ability to meet deadlines while performing task accurately.
Initiative-taking with a keen sense of ownership in all areas of responsibility. Punctual and dependable attendance.
* Understands company's basic philosophy and participates fully in conducting its mission.
Education:Employment Type: FULL_TIME