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Entry Level Software Engineer Machine Learning Jobs in Texas

Machine Learning Engineer

Austin, TX · On-site

$199K - $331K/yr

The BCI team develops the software and systems that communicate with the brain. These systems ... About the Role: Engineers on the BCI team utilize signal processing and machine learning to ...

... Engineer. This role will assist our Online Retail Decision Automation team by helping to research ... Description To be successful, candidates will need a machine learning background, proven software ...

... Engineer. This role will assist our Online Retail Decision Automation team by helping to research ... Description To be successful, candidates will need a machine learning background, proven software ...

... Engineer. This role will assist our Online Retail Decision Automation team by helping to research ... Description To be successful, candidates will need a machine learning background, proven software ...

We expect artificial intelligence and machine learning to be at the core of the work, developing ... As a Software Engineer you will be responsible for the development of key new areas of Mac and Home ...

We are looking for a Machine Learning Engineer to help us design and deliver CX solutions that ... Data visualization software (Tableau preferred) * Familiarity with AWS SageMaker * Strong ...

Currently, We are looking for entry-level software programmers, IT enthusiasts, Python/Java ... Excellent written and verbal communication skills For data Science/Machine learning REQUIRED SKILLS

As a Machine Learning Engineer, you will prepare datasets, train and optimize models, and maintain ... Experience building ML models in Python; solid software engineering and algorithms fundamentals

This job will validate and develop machine learning models and algorithms to solve complex problems. You will work closely with senior engineers, data scientists, and product teams to enhance ...

Machine Learning - Decision Trees, Random Forests, Rule Mining, Clustering, PCA, Support Vector ... Programming & Scripting - Python, R, Unix-Shell scripting, PySpark

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Staff Machine Learning Engineer

TalentPros.AI

Austin, TX

$120K - $550K/yr

Full-time

Posted 24 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.