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Remote Senior Machine Learning Engineer Jobs in Lafayette, LA

From world-class events that last a few weeks to mining operations and remote communities who rely ... machinery and equipment design. Uses computer assisted engineering and design software and ...

Senior Electrical Engineer

New Iberia, LA · On-site +1

$87K - $113K/yr

From world-class events that last a few weeks to mining operations and remote communities who rely ... air machinery, power and control systems, HVAC, microgrid & storage and more * Safety-focused ...

From world-class events that last a few weeks to mining operations and remote communities who rely on us for decades. What you'll do as Senior Design Engineer: * Design safe, reliable, and ...

... learning, and fostering professional development. * Conduct regular audits to ensure compliance ... At least 1+ year of supervisory experience #LI-KE4 #LI-REMOTE Compensation and benefits We offer a ...

Remote Senior Machine Learning Engineer information

See Lafayette, LA salary details

$72.1K

$136.8K

$183.4K

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

As of Jul 30, 2026, the average yearly pay for remote senior machine learning engineer in Lafayette, LA is $136,841.00, according to ZipRecruiter salary data. Most workers in this role earn between $117,000.00 and $154,200.00 per year, depending on experience, location, and employer.

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 engineer makes $500,000 a year?

Senior machine learning engineers with extensive experience, advanced skills in deep learning and data modeling, and working at large tech companies or in specialized industries can earn salaries approaching or exceeding $500,000 annually, often including bonuses and stock options. Such compensation typically requires a strong educational background, a track record of impactful projects, and expertise in tools like TensorFlow or PyTorch.

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 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 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.

What engineers make $300,000 a year?

Senior machine learning engineers can earn $300,000 or more annually, especially with extensive experience, advanced skills in deep learning and data modeling, and work at large tech companies or in specialized industries. Compensation often includes base salary, bonuses, and stock options, particularly in high-demand markets.

Will MLE be replaced by AI?

As a Senior Machine Learning Engineer, the role involves designing, developing, and maintaining AI systems, which currently require human expertise. While AI tools can automate certain tasks, the need for skilled professionals to interpret data, ensure ethical use, and improve models remains essential. AI is more likely to augment rather than replace the responsibilities of MLEs in the foreseeable future.

What engineers make $200,000 a year?

Senior machine learning engineers often earn $200,000 or more annually, especially with extensive experience, advanced skills in deep learning and data modeling, and proficiency with tools like TensorFlow or PyTorch. Compensation can vary based on industry, location, and company size, with some roles in tech giants or specialized fields reaching or exceeding this level.
What are popular job titles related to Remote Senior Machine Learning Engineer jobs in Lafayette, LA? For Remote Senior Machine Learning Engineer jobs in Lafayette, LA, the most frequently searched job titles are:
What cities near Lafayette, LA are hiring for Remote Senior Machine Learning Engineer jobs? Cities near Lafayette, LA with the most Remote Senior Machine Learning Engineer job openings:

Senior Application Engineer

Aggreko

New Iberia, LA • On-site, Remote

Full-time

Medical, Life

Re-posted 21 days ago


Aggreko rating

8.2

Company rating: 8.2 out of 10

Based on 30 frontline employees who took The Breakroom Quiz

129th of 487 rated machine equipment manufacturers


Job description

Bring your energy to Aggreko as Senior Application Engineer based in New Iberia, LA or Houston, TX. You'll take lead engineering responsibilities for process, procedures, specifications, and design to supply independent power production for large scale data center developers at rapid pace, near perfect reliability and power quality expectations, and efficient fuel usage from variable resources such as gas generators, battery energy storage, PV solar, or other energy sources.

Power without pause. Heating, cooling and oil-free air without end. We keep our customers' worlds on. From world-class events that last a few weeks to mining operations and remote communities who rely on us for decades.

What you'll do as Senior Application Engineer:

  • Client facing role, building designs and reviewing technical specifications.
  • Analyzes product or equipment specifications and performance requirements to determine designs which can be produced by existing manufacturing or processing facilities and methods.
  • Analyzes engineering proposals, process requirements, and related technical data pertaining to industrial machinery and equipment design. Uses computer assisted engineering and design software and equipment to perform engineering tasks.
  • Determines feasibility of designing new applications considering costs, available space, time limitations, company planning, and other technical and economic factors.
  • Provides technical information concerning applications, materials, properties, and process advantages and limitations which affect planning.
  • Compiles and analyzes operational, test, and research data to establish performance standards for newly designed or modified equipment.

You are:

  • Bachelor Degree in relevant Engineering field (ABET accredited or approved equal. Electrical, Mechanical, or others with energy industry work experience)
  • 6-8 + years relevant experience
  • Resourceful problem solver with proven experience collaborating with various stakeholders to reach successful project outcomes
  • Excellent verbal and written communication skills in English language
  • Strong technical knowledge and experience in energy field and excellent analytical and decision-making skills and ability to articulate. Technical writing background a plus .
  • Availability to travel to support business needs and for training and in possession of valid local Driving License as per the need of the business- 30% +

Here's what you'll get:

  • Competitive salary
  • Annual bonus program tied to company and individual performance
  • No premium cost medical plan option available
  • Company provided Life Insurance, Short-Term and Long-Term Disability
  • Career growth opportunities and tuition reimbursement
  • Safety-focused culture

Our people are can-do, positive, resilient and persistent. If that feels like you, apply now and build your career with the people bringing energy to the world.

#LI-AN1

Equal employment opportunity

We welcome people from different backgrounds and cultures, and respect people's unique skills, attitudes and experiences. We encourage everyone to be themselves at work because we know that's how we do our best, for each other, for our customers, for the communities where we work, and for our careers.

We are an equal opportunity employer. If you apply for a role at Aggreko, we will consider your application based on your qualifications and experience, and not on your race, colour, ethnicity, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.


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