Design, build and operate a substantial part of the autonomy evaluation metrics platform, collaborating with Perception, Planning and Systems engineers to connect model experiments to reliable metrics and improve models and data.
Compensation
Salary Range for California Based Applicants: $179,000-$223,800
Responsibilities
Own the design and delivery of a metrics-platform area, such as the metric registry, computation services or comparison and reporting APIs
Design versioned metric definitions and data models for inputs, aggregation, slicing and results
Build distributed computation and storage paths with idempotent execution, incremental processing and controlled backfills
Build comparison tools that expose coverage, sample sizes, uncertainty and changes in evaluation inputs
Partner with model developers to design evaluation experiments, inspect predictions and analyze failure patterns
Rivian’s Autonomy Eval Infrastructure team builds the software that helps engineers understand and improve the ML models behind our driving systems and gives release teams evidence they can trust. As a senior metrics-platform engineer, you will design, build and operate a substantial part of the platform that makes autonomy evaluation consistent and reproducible.
Locations (3)
Palo Alto, California, United States
London, England, United Kingdom
Belgrade, Central Serbia, Serbia
Compensation
Salary Range for California Based Applicants: $179,000-$223,800 (actual compensation will be determined based on experience, location, and other factors permitted by law).
Responsibilities
Own the design and delivery of a metrics-platform area, such as the metric registry, computation services or comparison and reporting APIs
Design versioned metric definitions and data models for inputs, aggregation, slicing and results
The Manager of Data Engineering leads a team of Data Engineers and BI Engineers responsible for building and operating scalable, reliable data pipelines, platforms, and analytics products.
Compensation
$200,000—$230,000 USD
Responsibilities
Lead a team of Data Engineers and BI Engineers
Own engineering delivery
Develop team members
Ensure high-quality, trusted data supports analytics, business operations, and data science
Lead modernization across batch and streaming pipelines, data lakes, a governed semantic layer, and data governance foundations
Requirements
Bachelor's degree or Master's Degree in Computer Science, Engineering, or a related field
Design and operate reliable data platforms while building user-facing applications that make data accessible and actionable.
Compensation
The expected base compensation for this role is: $125,000 - $168,650. Actual base compensation within the identified range will vary based on factors relevant to the position.
Responsibilities
Develop and productionize reliable batch and streaming data products in Azure Databricks
Identify opportunities to apply AI across data workflows
Build and maintain data services and APIs
Develop responsive front-end features using React, JavaScript or TypeScript
Collaborate with product designers and stakeholders
Requirements
Bachelor’s degree in Computer Science, Software Engineering, Data Science, or a related field, or equivalent experience
Work closely with robotics customers and Ethernovia engineering teams to develop optimized system-level connectivity architectures.
Compensation
The annual salary range for this position is $200,000 - $275,000. The compensation package will also include incentive compensation in the form of pre-IPO ISO options, in addition to base salary and a full range of medical and other benefits.
Responsibilities
Develop end-to-end connectivity architectures for humanoid, mobile, and industrial robots.
Define networking solutions connecting AI processors, cameras, sensors, controllers, and distributed computing nodes.
Create system-level block diagrams, connectivity blueprints, and reference architectures.
Optimize designs for bandwidth, latency, determinism, power, cost, and reliability.
Work directly with robotics OEMs to understand requirements and recommend solutions.
Develop and curate multimodal datasets for pretraining Hark's AI models, focusing on text, code, image, and video modalities, and design training mixtures and experiments to improve model performance.
Compensation
The US base salary range for this full-time position is between $180,000 - $450,000 annually.
Responsibilities
Develop methods to select, filter, deduplicate, and prepare text, code, image, and video datasets at scale.
Build paired and interleaved datasets, including image-text documents and video-text data.
Build quality classifiers and sampling methods, and measure their impact through controlled training experiments.
Develop synthetic captioning and other supervision methods for image and video data, and assess their accuracy, coverage, and biases.
Design mixtures and curricula across sources, domains, and modalities.
Designing, developing, and maintaining software that interfaces with correlator hardware and the computing systems around it for the Correlator team within the Monitor & Control (M&C) group.
Locations (4)
Socorro, New Mexico, United States
Albuquerque, New Mexico, United States
Charlottesville, Virginia, United States
Green Bank, West Virginia, United States
Compensation
The starting salary/hourly rate of this position is between $79,000-$121,000.
Responsibilities
Developing and maintaining software that configures, controls, and monitors correlator hardware
Build distributed computation and storage paths with idempotent execution, incremental processing and controlled backfills
Build comparison tools that expose coverage, sample sizes, uncertainty and changes in evaluation inputs
Partner with model developers to design evaluation experiments, inspect predictions and analyze failure patterns
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