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Remote Embedded Machine Learning Jobs in Lafayette, LA

Remote Embedded Machine Learning information

See Lafayette, LA salary details

$66.8K

$146.5K

$166.2K

How much do remote embedded machine learning jobs pay per year?

As of Jul 15, 2026, the average yearly pay for remote embedded machine learning in Lafayette, LA is $146,479.00, according to ZipRecruiter salary data. Most workers in this role earn between $125,600.00 and $165,200.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote Embedded Machine Learning Engineer, and why are they important?

To thrive as a Remote Embedded Machine Learning Engineer, you need a solid background in embedded systems, machine learning algorithms, and programming languages like C/C++ and Python, often supported by a degree in computer science, electrical engineering, or related fields. Familiarity with microcontrollers, edge AI frameworks (such as TensorFlow Lite or Edge Impulse), and version control systems is typically required. Strong problem-solving skills, effective communication, and self-motivation are essential soft skills for collaborating remotely and troubleshooting complex issues. These skills ensure successful deployment of intelligent solutions on resource-constrained devices and effective teamwork in distributed environments.

What is a Remote Embedded Machine Learning Engineer?

A Remote Embedded Machine Learning Engineer is a professional who develops and deploys machine learning models on embedded systems like microcontrollers, IoT devices, and edge hardware, all while working remotely. Their work involves optimizing algorithms to run efficiently on devices with limited computing power, memory, and battery life. These engineers typically use frameworks such as TensorFlow Lite or TinyML to design intelligent features that operate directly on hardware, enabling real-time decision-making without relying heavily on cloud connectivity. They collaborate with cross-functional teams and often troubleshoot both software and hardware issues from a remote location.

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

AspectRemote Embedded Machine LearningRemote Data Scientist
Required CredentialsBachelor's or Master's in Computer Science, Electrical Engineering, or related fields; experience with embedded systems and ML frameworksBachelor's or Master's in Data Science, Statistics, or related fields; proficiency in data analysis and ML algorithms
Work EnvironmentEmbedded hardware devices, IoT systems, real-time processing environmentsCloud platforms, data analysis labs, remote offices
Employer & Industry UsageTech companies, IoT device manufacturers, automotive, roboticsFinance, healthcare, marketing, tech firms

Remote Embedded Machine Learning specialists focus on integrating ML models into embedded hardware for real-time applications, often working with IoT and robotics. In contrast, Remote Data Scientists analyze large datasets to extract insights, primarily working in cloud or office environments. Both roles require strong analytical skills but differ in technical focus and work settings.

What are some common challenges faced by Remote Embedded Machine Learning Engineers, and how can they be addressed?

Remote Embedded Machine Learning Engineers often encounter challenges related to hardware access, debugging embedded devices remotely, and collaborating with cross-functional teams across time zones. To address these, it's important to set up robust remote development environments, use simulation tools when physical hardware isn't available, and establish clear communication channels for effective teamwork. Regular virtual meetings and detailed documentation also help ensure alignment and smooth progress, despite the remote nature of the work.
What are popular job titles related to Remote Embedded Machine Learning jobs in Lafayette, LA? For Remote Embedded Machine Learning jobs in Lafayette, LA, the most frequently searched job titles are:
Dimensional Control Lead

Dimensional Control Lead

Oceaneering International, Inc.

Broussard, LA • On-site, Remote

Full-time

Medical, Life, Retirement, PTO

Re-posted 18 days ago


Oceaneering rating

6.8

Company rating: 6.8 out of 10

Based on 22 frontline employees who took The Breakroom Quiz

325th of 430 rated machine equipment manufacturers


Job description

The Dimensional Control (DC) Lead plays a vital role in ensuring precise measurements through advanced surveying techniques. This position requires close collaboration with regional Operations Managers, Project Managers, and other stakeholders to complete dimensional control surveys efficiently. A core responsibility is aligning with Oceaneering's Health, Safety, and Environmental (HSE) and Quality Management Programs, aiming for zero incidents and minimizing Costs of Poor Quality (COPQ) in survey operations.

This is an office US based position with a hybrid work schedule remotely and/or another designated geographic area as needed. Ability to travel domestically and international as assigned. 

Oceaneering is a global provider of engineered services and products, primarily to the offshore energy industry. We develop products and services for use throughout the lifecycle of an offshore oilfield, from drilling to decommissioning. We operate the world's premier fleet of work class ROVs. Additionally, we are a leader in offshore oilfield maintenance services, umbilicals, subsea hardware, and tooling. We also use applied technology expertise to serve the defense, material handling, aerospace, science, and renewable energy industries.
Equal Opportunity Employer: 
All qualified candidates will receive consideration for all positions without regard to race, color, age, religion, sex (including pregnancy), sexual orientation, gender identity, national origin, veteran status, disability, genetic information, or other non-merit factor.
As one of the largest providers of Remotely Operated Vehicles (ROVs), Oceaneering offers cost-effective, innovative solutions to solve our customers' most complex challenges. With 99% uptime, our vehicles offer tough, reliable service for the full asset life cycle anywhere in the world - from development through to decommissioning. With a focus on secure remote operations, we can assure any operation, including rig moves, subsea monitoring, inspection, and more. With our next generation of subsea vehicles, such as the Liberty E-ROV and Freedom AUV, we push the boundaries of autonomy and remote work capabilities, using machine learning for better decision making and asset maintenance. 

REQUIRED

  • A geomatics related two (2) year degree; Equivalent work experience will be considered. 

  • Three (3) years of Dimensional Control survey experience, Topographic backgrounds may also be considered.

  • Knowledge and proficiency with various forms of survey technology including Total Station and GNSS.

  • Proficient with survey calculations, AutoCAD, and MS Office business applications

  • Ability to execute most Dimensional Control tasks including surveying, calculations, drawings, and related survey reports is required.

  • Must be able to obtain a valid Passport and any other regionally mandated offshore work requirement documents as appropriate.

  • Must have or be able to obtain TWIC card (Transportation Worker Identification Credential).

DESIRED           

  • Drone and photogrammetry experience.

  • Laser Scanning experience.

  • PLS / MRICS.

  • PMP Certification.

  • Spanish or Portuguese communication skill.

Knowledge, Skills, Abilities, and Other Characteristics

  • Ability to determine and meet customer needs.

  • Ensures that others involved in a project or effort are kept informed about developments and plans

  • Ability to establish and maintain project priorities.

  • Ability to plan, organize and direct the work of others.

Working Conditions 

  • Outdoors and indoors, day and night, as well as over/near water. 
  • Requires working on or near moving equipment and vibrating equipment. 
  • Frequently the humidity is above 90%, noise is over 85 decibels and the light is intense/glare. 
  • Potential exposure to open fire/flames/sparks. 
  • Constant exposure to airborne dust, fumes, and gases. 
  • Work surface is stable, height is elevated. 

Benefits Statement 

We offer a comprehensive and competitive benefits package. Employee benefits vary by role, however, may include Health and Wellness, Mental Health, Retirement Savings, Life and Disability, Paid Maternity and Parental Leave, Paid Time Off, Tuition Reimbursement, and an Employee Assistance Program.

  • Conduct field surveys in project locations, ensuring precise measurements and alignment with project specifications.

  • Leads Dimensional Control (DC) activities within budget (Layout, as-built etc.).

  • Leads vessel calibration surveys.

  • Validate measurements against technical drawings, CAD models, and client requirements. Validate and approve Dimensional Control and metrology results.

  • Operates effectively within a matrix organization with minimum supervision.

  • Contributes and ensure compliance with Geometric Dimensioning & Tolerancing (GD&T) and (DC)standards during inspections.

  • Maintain accurate records of all measurements, reports, and calibration logs.

  • Generate comprehensive inspection reports to communicate findings and recommendations to stakeholders.

  • Identify and resolve measurement discrepancies, recommending corrective actions when necessary.

  • Recommends, evaluates, and adopts new Dimensional Control (DC) technologies.

  • Prepares survey drawings and reports using Auto-Cad, Excel, and Word.

  • Liaises with client representatives.

  • Provide guidance, mentorship, and training to Junior Dimensional Control team members to enhance technical and safety performance.

  • Actively participate in Oceaneering's HSE and Quality Management Programs to promote a culture of safety and quality.

  • Conduct job hazard assessments (JHAs) and implement safety controls on-site.

  • Performs additional responsibilities and tasks as required to support organizational objectives.
  • Well organized and proficient in written and oral communication skills and time management


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