Back to search

Staff Machine Learning Engineer

TalentPros.AI · Austin, TX

Compensation

$120k – $550k /yr

Employment type

Full-time

Work setting

On-site

Location

Austin, TX

Schedule

Day shift

Posted

Apply for this job

You'll be redirected to the employer's application page.

Job overview

The Staff Machine Learning Engineer role is a full-time, onsite position based in Austin, TX. The salary range is $120,000–$550,000 per year, and this role supports the Applied Group at TalentPros.AI. This role exists to transform research breakthroughs into real-world AI applications. The engineer contributes to the company's mission by deploying advanced models, optimizing performance, and solving complex business challenges.

What you'll do

  • Design and deploy advanced machine learning models.
  • Collaborate with researchers, software engineers, and product managers.
  • Implement scalable data pipelines.
  • Optimize models for performance and accuracy.
  • Contribute to projects requiring cutting-edge technology.
  • Stay ahead of the curve by engaging with the latest developments in machine learning and AI.
  • Take part in code reviews.
  • Monitor and maintain deployed models.

What we're looking for

Skills & competencies
full-time
day shift
austin tx
machine learning engineer
ai
deep learning
talentpros.ai
$120k-$550k
engineering
software development
Work arrangement
  • Weekend coverage required

Benefits & perks

  • Not specified

About the employer

TalentPros.AI is hiring for this role. Industry: Research and Development in the Physical, Engineering, and Life Sciences (except Nanotechnology and Biotechnology). Sector: 54.

Additional details

Industry sector
54
Industry
Research and Development in the Physical, Engineering, and Life Sciences (except Nanotechnology and Biotechnology)
Occupation code
15-1299.00
Apply for this job

You'll be redirected to the employer's application page.

Browse more jobs

Listing ID: 3c0b3357-6a75-49bf-8695-8568eb0bb8c9

    Staff Machine Learning Engineer | CollabWORK