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Freelance Machine Learning Testing Jobs in California

... testing. You will also work on building out a SOTA machine learning platform. We're looking for strong engineers well versed with modern large scale machine learning platforms with a solid grasp of ...

We are seeking a Senior Machine Learning Engineer to work on MLOPS that support the testing, and release of object detection algorithms for our portfolio of products that help safeguard the flow of ...

We are seeking a Senior Machine Learning Engineer to work on MLOPS that support the testing, and release of object detection algorithms for our portfolio of products that help safeguard the flow of ...

Senior Machine Learning Engineer

San Francisco, CA · On-site

$123K - $169K/yr

A/B Testing and Experimentation : Design and implement experiments to optimize models and ensure ... Experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch)

Develop prototypes of ML algorithms and evaluate their performance through rigorous testing and ... D. in Machine Learning, EE, CS, Physics, Optics, or equivalent and 3+ years of experience in ...

As a Machine Learning Integration Engineer, you will help rapidly prototype, mature, and monitor ML ... Contribute to the research, design, implementation, and testing of CV and/or AI/ML software

Machine Learning Engineer

Sunnyvale, CA · Hybrid

$140K - $220K/yr

ABOUT THE JOB We are looking for a Machine Learning Engineer to help build and develop our ML ... Apply CI/CD principles including automated testing, model validation, and deployment strategies ...

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Freelance Machine Learning Testing information

What cities in California are hiring for Freelance Machine Learning Testing jobs? Cities in California with the most Freelance Machine Learning Testing job openings:
Senior Machine Learning Engineer

Senior Machine Learning Engineer

Roku

San Jose, CA • On-site

$148K - $361K/yr

Other

Medical, Life, PTO

Posted 21 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 apply various 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. You will also work on building out a SOTA machine learning platform.  

We're looking for strong engineers well versed with modern large scale machine learning platforms with a solid grasp of core statistical techniques and deep experience in SOTA Deep Learning discriminative and generative models.

For California Only - The estimated annual salary for this position is between $148,750 - $361,000 annually. Compensation packages are based on factors unique to each candidate, including but not limited to skill set, certifications, and specific geographical location. This role is eligible for health insurance, equity awards, life insurance, disability benefits, parental leave, wellness benefits, and paid time off.

What you'll be doing 
  • Building SOTA Deep learning discriminative models and build generative models to generate image and video ads geared towards optimizing performance
  • Building and evolving a SOTA Machine Learning Platform from feature generation to realtime inferencing that can optimize and deploy complex models at large scale and low latencies
  • Be forward thinking about advancements in ML related areas
We're excited if you have  
  • BS or higher in CS, ECE or a related field  
  • 5+ years of experience in building out Machine Learning platforms or applying Deep Learning  methodologies
  • Ability to communicate and collaborate cross functionally   

Preferred Qualifications:  

  • MS or higher CS, ECE or a related field
  • Experience in the Advertising domain
  • Contributions to open-source ML projects 
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