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Machine Learning Engineer From Home Jobs in Laredo, TX

... and maximize value from oil and gas assets. This role requires strong technical expertise ... machine, scanner, and computer printer. * Ability to hear average or normal conversations and ...

... and maximize value from oil and gas assets. This role requires strong technical expertise ... machine, scanner, and computer printer. * Ability to hear average or normal conversations and ...

... and maximize value from oil and gas assets. This role requires strong technical expertise ... machine, scanner, and computer printer. * Ability to hear average or normal conversations and ...

Accurately record machinery history and rapidly report any problems with machinery to Facilites ... HealthStream online learning catalogue with plenty of free CEU courses * More information is ...

Accurately record machinery history and rapidly report any problems with machinery to Facilites ... HealthStream online learning catalogue with plenty of free CEU courses * More information is ...

Civil Engineer

Laredo, TX · On-site

$2.9K - $5.8K/mo

Oversee construction of everything from runways to docks to buildings of all kinds * Supervise and ... homes

Operator - Telecom

Laredo, TX

$16 - $22/hr

Our culture champions continuous learning and personal growth * We believe success comes through ... LJA Engineering, Inc. and its subsidiaries do not accept unsolicited resumes from any agencies that ...

JOB GOAL: Plan, organize, and implement an appropriate instructional program in a learning ... Beyond the classroom, interactions such as home visits, mentoring, and after-hours events further ...

Operator - Telecom

Laredo, TX · On-site

$16 - $22/hr

Our culture champions continuous learning and personal growth * We believe success comes through ... LJA Engineering, Inc. and its subsidiaries do not accept unsolicited resumes from any agencies that ...

Python Private Tutoring Jobs

Laredo, TX

$43 - $59.25/hr

We enable our tutors to set their own rates, work from home, tutor online or in-person and connect with thousands of motivated students through our platform. Mission Superprof is offering you the ...

Python Private Tutoring Jobs

Laredo, TX · On-site

$43 - $59.25/hr

We enable our tutors to set their own rates, work from home, tutor online or in-person and connect with thousands of motivated students through our platform. Mission Superprof is offering you the ...

Entegral Financial Analyst

Laredo, TX · On-site

$75K - $90K/yr

WHAT WE OFFER We are a teleworking-first organization with work from home and hybrid employees ... Experience in data pipelines, SQL, machine learning and visualization * Interpreting analytics and ...

Learn from the best as you report directly to Construction Engineers who will help you develop a ... close to their homes. * For annual training, you may serve anywhere in the world, including ...

Showing results 21-40

Machine Learning Engineer From Home information

See Laredo, TX salary details

$27.7K

$113K

$169.9K

How much do machine learning engineer from home jobs pay per year?

As of Aug 3, 2026, the average yearly pay for machine learning engineer from home in Laredo, TX is $113,034.00, according to ZipRecruiter salary data. Most workers in this role earn between $89,100.00 and $136,100.00 per year, depending on experience, location, and employer.

Can a machine learning engineer work from home?

Yes, many machine learning engineers can work from home, especially in roles that involve data analysis, model development, and coding, which can often be performed remotely using cloud platforms and collaboration tools. However, some positions may require on-site presence for meetings, hardware access, or team collaboration, depending on the company's policies and project needs.

Is a machine learning engineer still in demand?

Yes, machine learning engineers are in high demand due to the increasing adoption of AI and data-driven solutions across industries. They are sought after for their skills in programming, data analysis, and deploying models using tools like Python, TensorFlow, and cloud platforms, with job growth expected to continue steadily.

What is the difference between Machine Learning Engineer From Home vs Data Scientist?

AspectMachine Learning Engineer From HomeData Scientist
Required CredentialsBachelor's/Master's in CS, ML, or related; experience with ML frameworksBachelor's/Master's in CS, Statistics, or related; strong analytical skills
Work EnvironmentRemote, flexible hours, often project-basedRemote or on-site, collaborative teams, research-focused
Employer & Industry UsageTech companies, startups, AI firmsTech, finance, healthcare, research institutions
Common Search & ComparisonOften compared for technical skills and remote work optionsCompared for data analysis and modeling expertise

While both roles require strong technical credentials and often involve remote work, Machine Learning Engineers From Home focus on developing and deploying ML models, whereas Data Scientists analyze data to generate insights. The choice depends on whether you prefer building algorithms or interpreting data trends.

What are popular job titles related to Machine Learning Engineer From Home jobs in Laredo, TX? For Machine Learning Engineer From Home jobs in Laredo, TX, the most frequently searched job titles are:
What cities near Laredo, TX are hiring for Machine Learning Engineer From Home jobs? Cities near Laredo, TX with the most Machine Learning Engineer From Home job openings:
Infographic showing various Machine Learning Engineer From Home job openings in Laredo, TX as of June 2026, with employment types broken down into 87% Full Time, and 13% Contract. Highlights an 71% In-person, and 29% Remote job distribution, with an average salary of $113,034 per year, or $54.3 per hour.

Research Intern on Generative and Protective AI for Content Creation

Sony

Laredo, TX • On-site

$50/hr

Other

Posted 4 days ago


Job description

Sony AI America, a branch of Sony AI, is a remotely distributed organization spread across the U.S. and Canada. Sony AI is Sony's new research organization pursuing the mission to use AI to unleash human creativity. Sony AI works closely with Sony's other business units, including Sony Interactive Entertainment LLC., Sony Pictures Entertainment Inc., and Sony Music Entertainment. With some 900 million Sony devices in hands and homes worldwide today, a vast array of Sony movies, television shows and music, and the PlayStation Network, Sony creates and delivers more entertainment experiences to more people than anyone else on earth. To learn more: https://ai.sony/

Position Summary

Sony AI is seeking research interns who are passionate about ML-based technologies that are useful in movie , game , and music creation, as well as technologies for the ethical operations of generative AIs. Our mission is to research and develop technologies for various Sony Group products and for scientific publication. The technologies developed during the internship will have the potential to be applied in film, game , and music production across entertainment studios worldwide.

Responsibilities

As a research intern, you will investigate and apply novel algorithms related to:

  • The generation and editing of video, sound, and 3D visual geometry (including 3D human motion).
  • The analysis and alleviation of ethical flaws in generative models, including techniques for memorization detection and mitigation, concept erasure, and data attribution.

Your goal will be to publish your findings in a top-tier conference. You are expected to be self-motivated and to implement innovative ideas using your research, coding, and problem-solving skills. You will receive support from internal scientists and engineers in your efforts.

Required Qualifications

  • Master's degree in Computer Science , Electrical Engineering, Applied Mathematics, or related fields.
  • Proven knowledge and expertise in generative AI applications, including deep generative modeling, computer vision, and audio signal processing.
  • Strong analytical and programming skills in deep learning using frameworks and tools for machine learning (e.g., PyTorch ) and visualization (e.g., TensorBoard ).
  • Experience in research communities, including published papers at top-tier conferences such as CVPR, ICCV, ECCV, NeurIPS , ICLR, and ICML.
  • Excellent communication and presentation skills.

Preferred Qualifications

  • Currently enrolled in a relevant Ph.D. program in fields such as Computer Science, Electrical Engineering, Applied Mathematics, or related disciplines.

Working Location

Location flexible (Tokyo, NYC, remote)

The target hourly rate for this internship is $50.00 per hour. The individual will be paid hourly and eligible for overtime .

LI-AS1

All qualified applicants will receive consideration for employment without regard to any basis protected by applicable federal, state, or local law, ordinance, or regulation.

Disability Accommodation for Applicants to Sony Corporation of America Sony Corporation of America provides reasonable accommodation for qualified individuals with disabilities and disabled veterans in job application procedures. For reasonable accommodation requests, please contact us by email at careers@sonyusa.com or by mail to: Sony Corporation of America, People Experience Department, 25 Madison Avenue, New York, NY 10010. Please indicate the position you are applying for.

We are aware that unauthorized individuals or organizations may attempt to solicit personal information or payments from job applicants by impersonating our company through fraudulent job postings. We take these matters seriously but cannot control third-party websites. To protect your personal information, please verify that any job posting you respond to also appears on our official Careers page: www.sonyjobs.com . Please also be advised that we never request personal identifying information (such as Social Security numbers, bank details, or copies of identification documents) during the initial stages of our application process. If you have any doubts about the authenticity of a job posting or communication, please contact careers@sonyusa.com before submitting any information.

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