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Remote Machine Learning Engineer New Grad Jobs in Los Angeles, CA

YO AI Labs

Senior Software Engineer - Remote

Los Angeles, CA · Remote

$132K - $174K/yr

Senior Software Engineer Job Type: Contract Location: Remote Job Summary: In this role, you'll ... Familiarity with modern AI or machine learning systems is a plus, though not required. * Background ...

Netflix

Software Engineer (L4) - CKG

Los Angeles, CA · On-site +1

... machine learning, analytical engineering and software engineering), partnering closely with data science, analytics, and business counterparts Netflix offers amazing co-workers, new technology ...

Experian

Senior Full Stack Engineer

Costa Mesa, CA · On-site +1

Use data-driven approaches to train and improve machine learning models for automation tasks ... Stay up to date with new technologies and industry trends related to software development ...

EDO

Senior Platform Engineer

Los Angeles, CA · On-site +1

$112K - $154K/yr

EDO is headquartered in New York City and Los Angeles with office space in San Francisco. For ... machine learning engineers ship safely and efficiently. Our environment is AWS-heavy and data ...

Prodege LLC

Principal Data Engineer

El Segundo, CA · On-site +1

Data foundations that support machine learning, feature pipelines, experimentation, and decisioning ... proving out new approaches before scaling them across the team * Build and optimize high-scale ...

Magnite

Senior Engineer

Los Angeles, CA · 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 ...

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All JobsMachine Learning Engineer New Grad JobsRemote Machine Learning Engineer New Grad JobsRemote Machine Learning Engineer New Grad Jobs in Los Angeles, CA

Remote Machine Learning Engineer New Grad information

See Los Angeles, CA salary details

$11.9K

$78.2K

$135.2K

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

As of Aug 13, 2026, the average yearly pay for remote machine learning engineer new grad in Los Angeles, CA is $78,217.00, according to ZipRecruiter salary data. Most workers in this role earn between $48,500.00 and $89,400.00 per year, depending on experience, location, and employer.

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

To excel as a Remote Machine Learning Engineer New Grad, you need a solid grounding in computer science, statistics, and machine learning algorithms, typically supported by a relevant degree. Familiarity with programming languages like Python, machine learning libraries (e.g., TensorFlow, PyTorch), and experience using version control systems such as Git are essential. Strong problem-solving skills, effective communication, and the ability to work independently are standout soft skills for this remote role. These skills ensure you can develop robust ML models, collaborate efficiently with distributed teams, and deliver impactful solutions in a dynamic environment.

What does a remote machine learning engineer new grad do?

A Remote Machine Learning Engineer New Grad is an entry-level professional who designs, builds, and deploys machine learning models while working from a remote location. Their responsibilities typically include preprocessing data, developing algorithms, and collaborating with other team members through digital tools. As a new graduate, they often focus on learning industry best practices, writing code, testing models, and updating existing systems. Strong programming skills, problem-solving ability, and communication are essential for success in this role.

What are some common challenges faced by new graduates starting as remote machine learning engineers, and how can they overcome them?

As a new graduate starting remotely as a machine learning engineer, one common challenge is effectively collaborating with team members and mentors when you can't interact in person. You may also face difficulties in accessing large datasets or compute resources, which can slow down experimentation. To overcome these challenges, it's important to communicate proactively using team channels, schedule regular check-ins with your mentor, and familiarize yourself with your company's remote infrastructure and support systems. Building a habit of documenting your work and asking for feedback early can also accelerate your learning and integration into the team.
What are the most commonly searched types of Machine Learning Engineer New Grad jobs in Los Angeles, CA? The most popular types of Machine Learning Engineer New Grad jobs in Los Angeles, CA are:
What cities near Los Angeles, CA are hiring for Remote Machine Learning Engineer New Grad jobs? Cities near Los Angeles, CA with the most Remote Machine Learning Engineer New Grad job openings:
Remote Machine Learning Engineer New Grad jobs near you
Infographic showing various Remote Machine Learning Engineer New Grad job openings in Los Angeles, CA as of June 2026, with employment types broken down into 9% As Needed, 63% Full Time, 22% Part Time, 2% Contract, and 4% Nights. Highlights an 52% Physical, 3% Hybrid, and 45% Remote job distribution, with an average salary of $78,217 per year, or $37.6 per hour.

Systems Principal Automation Engineer

Login Consulting Services, Inc.

Monrovia, CA • On-site, Remote

Full-time

Re-posted 21 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 self‑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 real‑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

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