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Remote Machine Learning Engineer Biotech Jobs in Pasadena, CA

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 ...

Remote Job Summary We are seeking an experienced AI/ML Engineer to build and deploy secure ... machine learning applications. Key Responsibilities * Design, implement, and optimize AI/ML ...

The Role We are seeking a Software Engineer to interface with embedded systems, machine learning ... models, and 3D game engines. This role focuses on building reliable, reusable systems that build ...

AI/ML Engineer Job Type: Full-Time Location: Remote Job Summary We are seeking an experienced AI/ML ... machine learning applications. Key Responsibilities * Design, implement, and optimize AI/ML ...

CONFIDENTIAL SEARCH Head of Engineering Full-Time | Remote | Light Travel (~5%) About Our Client ... machine learning to help predict and improve audience response to creative work across TV and film.

Senior Platform Engineer

Los Angeles, CA · 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 ...

Senior Platform Engineer

Los Angeles, CA · 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 ...

Showing results 41-60

Remote Machine Learning Engineer Biotech information

See Pasadena, CA salary details

$34.4K

$140.5K

$211.1K

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

As of Sep 6, 2026, the average yearly pay for remote machine learning engineer biotech in Pasadena, CA is $140,462.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,700.00 and $169,100.00 per year, depending on experience, location, and employer.

What does a remote machine learning engineer do in biotech?

A Remote Machine Learning Engineer in the biotech industry develops and implements machine learning models to analyze biological data, such as genomics, proteomics, or medical imaging. They collaborate with scientists and researchers to interpret complex datasets, automate data-driven processes, and drive innovation in drug discovery, diagnostics, or personalized medicine. Working remotely, they use programming, data science, and domain knowledge to create solutions that improve research efficiency and outcomes in biotechnology.

What are common challenges faced by remote machine learning engineers in biotech, and how can they be addressed?

Remote machine learning engineers in biotech often face challenges such as managing large datasets securely, collaborating effectively across multidisciplinary teams, and staying updated with the latest scientific and technical developments. Communication is key—regular video meetings and clear documentation help bridge gaps with colleagues in research, data science, and regulatory domains. Additionally, leveraging secure cloud platforms and adhering to data privacy regulations are essential for handling sensitive biological information. Staying proactive with self-learning and participating in online forums or company-sponsored training can also help address these challenges.

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

To thrive as a Remote Machine Learning Engineer in Biotech, you need a strong background in computer science, statistical modeling, and biology, typically supported by a relevant degree and experience in data-driven research. Proficiency with programming languages like Python or R, machine learning frameworks (such as TensorFlow or PyTorch), and bioinformatics tools is essential, and certifications in data science or machine learning are advantageous. Strong problem-solving, communication, and collaboration skills are crucial for working effectively in remote, interdisciplinary teams and explaining complex results to stakeholders. These skills ensure accurate model development, effective knowledge transfer, and impactful contributions to biotech innovations.

What are the most commonly searched types of Machine Learning Engineer Biotech jobs in Pasadena, CA?

The most popular types of Machine Learning Engineer Biotech jobs in Pasadena, CA are:

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

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

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

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

What cities near Pasadena, CA are hiring for Remote Machine Learning Engineer Biotech jobs?

Cities near Pasadena, CA with the most Remote Machine Learning Engineer Biotech job openings:

Infographic showing various Remote Machine Learning Engineer Biotech job openings in Pasadena, CA as of August 2026, with employment types broken down into 75% Full Time, and 25% Contract. Highlights an 25% In-person, and 75% Remote job distribution, with an average salary of $140,462 per year, or $67.5 per hour.

Systems Principal Automation Engineer

Login Consulting Services, Inc.

Monrovia, CA • On-site, Remote

Full-time

Re-posted 15 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