Software Engineer I on the HMS Factory Team building and maintaining automated testing, log‑analysis, and scenario‑generation tools for the Hivemind Platform.
Compensation
Pay within range listed + Bonus + Benefits + Equity
Responsibilities
Develop, test, and maintain Python scripts and libraries used to analyze simulation data
Support the development of analysis tools that process simulation outputs, telemetry, rosbags, and other test artifacts
Help build and maintain automated test workflows and wrappers around HMS Forge and other internal test‑orchestration tools
Assist with developing program‑specific test adapters, configuration files, and automation utilities in Python and, when needed, C++
Contribute to programmatic scenario‑generation tools that create varied simulation conditions for testing autonomy behaviors
Requirements
Bachelor’s degree in Computer Science, Computer Engineering, Aerospace Engineering, Systems Engineering, or a related technical discipline
Prepare, execute, and manage environmental tests on electronic flight hardware across the VBAT and XBAT aircraft, ensuring performance requirements through rigorous thermal, vibration, shock, humidity, and altitude testing.
Compensation
Pay within range listed + Bonus + Benefits + Equity
Responsibilities
Operate and continuously improve a world-class environmental test lab for electronics
Develop and implement lab procedures for use of environmental test equipment
Perform reliability tests on electronic products
Develop lab best-practices, including automation of data acquisition
Manage procurement and maintenance of lab consumables
Requirements
Bachelor's degree in Mechanical Engineering
Bachelor's degree in Electrical Engineering
Bachelor's degree in Reliability Engineering
Nice to have: 5+ years of experience in a reliability testing role
Software Engineer II on the HMS Factory Team building and maintaining automated testing, log-analysis, and scenario-generation tools for the Hivemind Platform.
Compensation
Pay within range listed + Bonus + Benefits + Equity
Responsibilities
Develop, test, and maintain Python scripts and libraries used to analyze simulation data
Support the development of analysis tools that process simulation outputs
Help build and maintain automated test workflows and wrappers around HMS Forge
Assist with developing program-specific test adapters, configuration files, and automation utilities in Python and C++
Contribute to programmatic scenario-generation tools
Requirements
Master’s degree in Computer Science, Computer Engineering, Aerospace Engineering, Systems Engineering, or a related technical discipline
Nice to have: Python-based data-analysis workflows
Nice to have: continuous-integration systems
Nice to have: test frameworks such as pytest, unittest, GoogleTest, Robot Framework
As a Reliability Test Engineer at Shield AI, you'll own the engineering behind environmental testing of electronic flight hardware for the XBAT aircraft, including thermal, vibration, shock, humidity, altitude, HALT, and HASS testing.
Responsibilities
Translate design requirements, mission profiles, and industry standards into environmental test plans
Write and maintain the test procedures and work instructions technicians use to set up, execute, and tear down tests
Design test fixtures in CAD and verify they are dynamically suitable for vibration and shock testing
Define instrumentation and data acquisition requirements, and develop automated tools for data acquisition, reduction, and plotting
Provide real-time engineering support during test execution
We are looking for experienced Data Analysis professionals who want to support and guide our students on their path to becoming professional developers. This is a full-time teaching role (40 hours/week flexible).
Responsibilities
Host regular live Q&A sessions to help students unblock and progress confidently
Offer personalized support through 1:1 video calls to answer questions and guide assignments
Occasionally respond to student questions via direct messages
Lead live lessons on core program topics and industry-relevant skills
Share your professional insights and best practices to support the learning community
Lead the development and implementation of advanced data science models and algorithms, focusing on Agentic Commerce, LLM platforms, and behavioral modeling.
Compensation
The base pay for this role will depend on where you work and the relevant experience and expertise you bring. The expected range of pay for this role by location is: $144,991.00-243,500.00 per annum.
Responsibilities
Design and execute controlled experiments to measure the effectiveness of PayPal's Agentic Commerce offering across LLM platforms
Apply causal inference methodologies to attribute revenue and conversion changes to product features in AI-driven checkout flows
Develop behavioral models to understand merchant and consumer interactions within conversational commerce environments
Build measurement frameworks to track key performance metrics across growth, conversion, latency, availability, and friction for emerging AI commerce channels
Collaborate with Product and Engineering teams to optimize the Agentic Commerce experience based on data-driven insights
Requirements
Master’s degree or foreign equivalent, in Computer Science, Engineering, Data Science, Statistics, or a closely related field
Transform messy data into useful models and decision‑making tools, owning projects from scoping to deployment and monitoring.
Compensation
The estimated base salary range for this position is $165,000 to $250,000, which is specific to New York and may change in the future. Millennium pays a total compensation package which includes a base salary, discretionary performance bonus, and a comprehensive benefits package.
Responsibilities
Own outcomes: break projects into milestones, estimate realistically, meet deadlines, and surface risks early with options.
Build and deploy models: develop ML models (including LLM‑enabled solutions when appropriate), design features, evaluate rigorously, and contribute to production‑grade pipelines.
Work the full data lifecycle: wrangle and clean data, implement data quality checks, write maintainable Python/SQL, add tests, and document decisions.
Collaborate cross‑functionally: translate business questions into analysis, present trade‑offs clearly, and iterate with stakeholders and tech partners.
Deploy to production: partner with data engineers to ship to production (APIs, batch jobs, monitoring) and create feedback loops for continuous improvement.
Requirements
Bachelor's degree in Computer Science, Data Science, Statistics, or a related field.
This job will lead the development and implementation of advanced data science models and algorithms, focusing on Agentic Commerce, LLM platforms, and causal inference.
Compensation
The expected range of pay for this role by location is: $144,991.00-243,500.00 per annum.
Responsibilities
Design and execute controlled experiments to measure the effectiveness of PayPal's Agentic Commerce offering across LLM platforms.
Apply causal inference methodologies to attribute revenue and conversion changes to product features in AI-driven checkout flows.
Develop behavioral models to understand merchant and consumer interactions within conversational commerce environments.
Build measurement frameworks to track key performance metrics across growth, conversion, latency, availability, and friction for emerging AI commerce channels.
Collaborate with Product and Engineering teams to optimize the Agentic Commerce experience based on data-driven insights.
Requirements
Master’s degree, or foreign equivalent, in Computer Science, Engineering, Data Science, Statistics, or a closely related field
Bachelor Thesis: AI-Assisted Rx Selection for 6G MIMONewEricsson · Stockholm, Sweden
Senior Data ScientistNewPayPal · San Jose, US
Data ScientistNewMillennium · New York, US
Senior Data ScientistNewPayPal · San Jose, US