Pasadena, CA · On-site +1
$175K - $195K/yr
... remote operations. • Develop industrial data acquisition, historians, and plant-wide data ... TensorFlow, OpenCV, and/or HALCON. • Develop classical and deep learning machines and vision ...
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Pasadena, CA · On-site +1
$175K - $195K/yr
... remote operations. • Develop industrial data acquisition, historians, and plant-wide data ... TensorFlow, OpenCV, and/or HALCON. • Develop classical and deep learning machines and vision ...
$18.24 - $24.53
8% of jobs
$24.53 - $30.81
3% of jobs
$30.81 - $37.09
6% of jobs
$43.15 is the 25th percentile. Wages below this are outliers.
$37.09 - $43.38
7% of jobs
$43.38 - $49.66
14% of jobs
$49.66 - $55.94
9% of jobs
The median wage is $56.62 / hr.
$55.94 - $62.23
15% of jobs
$67.28 is the 75th percentile. Wages above this are outliers.
$62.23 - $68.51
15% of jobs
$68.51 - $74.79
12% of jobs
$74.79 - $81.08
7% of jobs
$81.08 - $87.36
3% of jobs
$18
$56
$87
A Remote TensorFlow Developer job involves designing, implementing, and optimizing machine learning models using TensorFlow while working from a remote location. Developers in this role typically collaborate with data scientists, engineers, and product teams to build AI-driven applications and improve model performance. Responsibilities may include data preprocessing, model training, deployment, and fine-tuning for scalability and efficiency. Strong knowledge of deep learning, neural networks, and cloud platforms is often required.
To thrive as a Remote Tensorflow Developer, you need deep knowledge of machine learning concepts, strong proficiency in Python programming, and hands-on experience with Tensorflow framework. Experience with cloud platforms (such as AWS, GCP, or Azure), model deployment, and relevant Tensorflow Developer certification are highly valuable. Excellent problem-solving abilities, self-motivation, and effective remote communication skills help developers stand out. These qualities are crucial for building robust machine learning solutions, efficiently collaborating with distributed teams, and delivering high-impact results in a remote setting.
Remote Tensorflow Developers often face challenges such as collaborating across different time zones, managing large datasets, and keeping up with rapidly changing machine learning technologies. These challenges are typically addressed through robust communication tools (like Slack or Zoom), using version control systems for code collaboration, and adopting efficient cloud-based workflows for data and model sharing. Teams may also conduct regular virtual stand-ups and knowledge-sharing sessions to stay aligned on projects and share learnings. Engaging in continuous learning and attending online workshops or conferences also helps remote developers stay updated and effective in their roles.
$175K - $195K/yr
Full-time
Posted 2 days ago
Need to be Green Card Resident or US Citizen Living in Los Angeles
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.
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.