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Machine Learning Engineer From Home Jobs in Texas

We are looking for visionary Machine Learning Engineers to join our Applied Group, where you'll ... Bring our research from concept to implementation, creating AI-driven applications with a direct ...

Senior Machine Learning Engineer

Houston, TX

$117K - $154K/yr

Founded in Rotterdam in 1966, today Vitol serves clients from some 40 offices worldwide and is ... The Machine Learning Engineer at Vitol has visibility and impact across the full project workflow ...

Summary The Machine Learning Engineer designs and evolves enterprise AI systems and architectures ... Applicants in California or Washington State may not be exempt from federal and state overtime ...

Senior Machine Learning Engineer

Houston, TX · On-site

$117K - $154K/yr

Founded in Rotterdam in 1966, today Vitol serves clients from some 40 offices worldwide and is ... The Machine Learning Engineer at Vitol has visibility and impact across the full project workflow ...

Senior Machine Learning Engineer

Houston, TX · On-site

$117K - $154K/yr

Founded in Rotterdam in 1966, today Vitol serves clients from some 40 offices worldwide and is ... The Machine Learning Engineer at Vitol has visibility and impact across the full project workflow ...

Summary The Machine Learning Engineer designs and evolves enterprise AI systems and architectures ... Applicants in California or Washington State may not be exempt from federal and state overtime ...

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Machine Learning Engineer From Home information

What jobs make $3,000 a month without a degree?

Machine Learning Engineers typically require a degree, but some related roles like data annotators, technical support specialists, or freelance AI content creators can earn around $3,000 monthly without a formal degree, often relying on skills, certifications, or experience. These jobs may involve working remotely and utilizing online tools or platforms to find opportunities.

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 the most commonly searched types of Machine Learning Engineer jobs in Texas? The most popular types of Machine Learning Engineer jobs in Texas are:
What are popular job titles related to Machine Learning Engineer From Home jobs in Texas? For Machine Learning Engineer From Home jobs in Texas, the most frequently searched job titles are:
What cities in Texas are hiring for Machine Learning Engineer From Home jobs? Cities in Texas with the most Machine Learning Engineer From Home job openings:

Staff Machine Learning Engineer

TalentPros.AI

Austin, TX

$120K - $550K/yr

Full-time

Posted 15 days ago


Job description

About the Team

We are at the forefront of artificial intelligence, driving innovation and shaping the future with cutting-edge research. Our mission is to ensure that AI's benefits reach everyone. We are looking for visionary Machine Learning Engineers to join our Applied Group, where you'll transform groundbreaking research into real-world applications that can change industries, enhance human creativity, and solve complex problems.


About the Role

As a Machine Learning Engineer in our Applied Group, you will have the opportunity to work with some of the brightest minds in AI. You'll contribute to deploying state-of-the-art models in production environments, helping turn research breakthroughs into tangible solutions. If you're excited about making AI technology accessible and impactful, this role is your chance to make a significant mark.

In this role, you will:

  • Innovate and Deploy: Design and deploy advanced machine learning models that solve real-world problems. Bring our research from concept to implementation, creating AI-driven applications with a direct impact.
  • Collaborate with the Best: Work closely with researchers, software engineers, and product managers to understand complex business challenges and deliver AI-powered solutions. Be part of a dynamic team where ideas flow freely and creativity thrives.
  • Optimize and Scale: Implement scalable data pipelines, optimize models for performance and accuracy, and ensure they are production-ready. Contribute to projects that require cutting-edge technology and innovative approaches.
  • Learn and Lead: Stay ahead of the curve by engaging with the latest developments in machine learning and AI. Take part in code reviews, share knowledge, and lead by example to maintain high-quality engineering practices.
  • Make a Difference: Monitor and maintain deployed models to ensure they continue delivering value. Your work will directly influence how AI benefits individuals, businesses, and society at large.


You might thrive in this role if you:

  • Master's/ PhD degree in Computer Science, Machine Learning, Data Science, or a related field. 
  • Demonstrated experience in deep learning and transformers models
  • Proficiency in frameworks like PyTorch or Tensorflow
  • Strong foundation in data structures, algorithms, and software engineering principles.
  • Experience with search relevance, ads ranking or LLMs is a plus.
  • Are familiar with methods of training and fine-tuning large language models, such as distillation, supervised fine-tuning, and policy optimization
  • Excellent problem-solving and analytical skills, with a proactive approach to challenges.
  • Ability to work collaboratively with cross-functional teams.
  • Ability to move fast in an environment where things are sometimes loosely defined and may have competing priorities or deadlines
  • Enjoy owning the problems end-to-end, and are willing to pick up whatever knowledge you're missing to get the job done


We are an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity.