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Quantitative Researcher Machine Learning Jobs in Austin, TX

Q2

Machine Learning Engineer

Austin, TX · Hybrid

  • Medical

... research and experimentation to advance machine learning capabilities Collaborate with cross-functional teams to integrate AI solutions into production environments Analyze large datasets to extract ...

Q2 Software, Inc.

Machine Learning Engineer

Austin, TX · On-site

  • Medical

... research and experimentation to advance machine learning capabilities • Collaborate with cross-functional teams to integrate AI solutions into production environments • Analyze large datasets to ...

Q2 India

Machine Learning Engineer

Austin, TX · On-site

$100 - $130/hr

  • Medical

RESPONSIBILITIES** • Design and implement machine learning algorithms and models for various business applications • Conduct research and experimentation to advance machine learning capabilities ...

Rivago infotech inc

Machine Learning Engineer

Manor, TX · On-site

Experience in designing and maintain the infrastructure, CI/CD pipelines, and monitoring systems that take machine learning models from experimental research to scalable, production-ready enterprise ...

New

Neuralink

Machine Learning Engineer

Austin, TX · On-site

$199K - $331K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

Formulate research questions to guide the development of neural networks and signal processing ... for machine learning applications for BCI. * Lead the team by performing at a high standard ...

PTP

Machine Learning Engineer - REMOTE

Austin, TX · On-site +1

Research and implement ML algorithms for a variety of business problems * Automate processes for ... Machine learning (ML) algorithms * Predictive modeling and analysis * Data visualization software ...

Neuralink

Machine Learning Engineer

Austin, TX · On-site

Formulate research questions to guide the development of neural networks and signal processing ... for machine learning applications for BCI. * Lead the team by performing at a high standard ...

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How much do quantitative researcher machine learning jobs pay per year?

As of Aug 15, 2026, the average yearly pay for quantitative researcher machine learning in Austin, TX is $118,118.00, according to ZipRecruiter salary data. Most workers in this role earn between $77,800.00 and $151,200.00 per year, depending on experience, location, and employer.

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Senior Machine Learning Scientist, Conversion Modeling

Roku

Austin, TX • On-site

Full-time

Re-posted 18 days ago

Job description

About the team 

The Advertising Performance group focuses on performance for all participants in the Advertising ecosystem - Advertisers, Publishers and Roku. The systems and solutions span across different disciplines and technologies to perform realtime multi-objective optimization with distributed systems at large scale and low latencies. We use Machine Learning, Reinforcement Learning, AI, Control and Optimization Systems and Auction Dynamics to solve a large set of complex problems. At the core of this is our Machine Learning, Experimentation and Inference Platform that powers the entire landscape which we continuously evolve over time.

About the role 

In this role you will work on applying SOTA research and conduct your own research to develop novel methodologies to solve a large variety of challenging problems in Advertising related to conversion modeling aligned with attribution methodologies/models, calibration, dynamic creative generation and optimization, forecasting and timeseries modeling, yield and margin optimization and Experimentation for A/B and multivariate testing. 

We're looking for a strong technical leader with a solid grasp of core statistical techniques and deep experience in SOTA Deep Learning discriminative and generative models.

What you'll be doing
  • Building generative models to generate image and video ads geared towards optimizing performance
  • Stay at the forefront of advancements in related areas
We're excited if you have
  • PhD in a quantitative discipline such as CS, Statistics, Applied Math or a related field
  • 8+ years of experience in applied research using statistical and deep learning techniques
  • Published paper(s) on deep learning models for Advertising or related areas
  • Excellent communication and collaboration skills

Preferred Qualifications

  • Experience in the Advertising domain
  • Contributions to open-source ML projects 
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