2023-08-24T15:28:24-04:00 X, The Moonshot Factory
Machine Learning Infrastructure Software Engineer, Project Tidal (6 months contract)
Software Engineering
Mountain View, CA

X is Alphabet’s moonshot factory. We are a diverse group of inventors and entrepreneurs who build and launch technologies that aim to improve the lives of millions, even billions, of people. Our goal: 10x impact on the world’s most intractable problems, not just 10% improvement. We approach projects that have the aspiration and riskiness of research with the speed and ambition of a startup.

 

About the team:

Tidal is a team at X working on a moonshot to protect the ocean and preserve its ability to support life and help feed humanity, sustainably. Our initial area of focus is on developing hardware and software technologies that bring greater visibility and understanding of what’s happening under the water. Learn more about Project Tidal.

 

About the role: 

As an Applied Machine Learning Software Engineer at Tidal, you will be working alongside other software engineers, perception experts, and research scientists to develop and deploy state-of-the-art methods to create a platform leveraging perception and machine learning to solve humanity’s biggest problems — from food production to renewable energy to climate change — by sustainably utilizing the ocean. 

Your role will be to enable developers to run ML workflows smoothly and efficiently. You will develop sustainable, scalable solutions to ensure the reliability and performance of these ML workflows, improve engineer productivity and ultimately help advance our Perception and ML Platform.  If you love getting tech to work on challenging, real world problems, please apply! 

 

How you will make 10X Impact

  • Work with our customers to understand the problem space, run experiments, collect data, and design novel and breakthrough ML solutions  
  • Profile ML performance at both model level and system level, identify performance bottlenecks and optimization opportunities
  • Improve and streamline large-scale machine learning workflows for training and inference by analyzing, understanding, and fixing bottlenecks
  • Enable better component-wise testing of training workflows
  • Automate data upload/processing/training/evaluating/deploying/optimizing pipelines and develop monitoring and notification tooling to track statistics of the pipelines, improving debuggability and introspection into these complex workflows
  • Respond to and resolve emergent problems in production; test ML training pipelines; write software and build automation to prevent problem recurrence
  • Keep track of major changes and trends in infrastructure and enable adoption of new frameworks and systems without significant impact on development work
  • Engage in capacity planning, quota management, and demand forecasting for ML workflows
  • Collaborate with stakeholder teams to implement and evolve large-scale Machine Learning infrastructure

 

What you should have: 

  • BS degree in Computer Science or a related field, or equivalent practical experience
  • Strong programming skills in Python and/or C++
  • Expertise in data structures, algorithms and complexity analysis.
  • Experience designing, analyzing, and troubleshooting large-scale distributed systems, especially enterprise cloud services (e.g., GCP, AWS)
  • Experience with ML platforms, solutions, and infrastructure deployed to solve real world problems

 

It’d be great if you also had these: 

  • Experience with C++ and/or Go
  • Experience with TensorFlow or Pytorch
  • Experience with SQL or similar, and parallel data processing pipelines (e.g. Flume, Apache Beam)
  • Expertise in architecting and deploying machine learning pipelines at scale
  • Expertise in getting ML models into production
  • Familiarity with state-of-the-art ML models for perception/computer vision tasks
  • Customer-facing experience creating software solutions
  • MS or PhD degree in Computer Science or a related field, or equivalent practical experience

 

The US base salary range for this full-time position is a prorated amount from $133,000 - $202,000 + bonuses + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits.

 

At X, we don't just accept difference - we celebrate it, we support it, and we thrive on it for the benefit of our employees, our products and our community. We are proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.

If you have a disability or special need that requires accommodation, please contact us at: x-accommodation-request@x.team.

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