We are seeking a detail-oriented Software Engineering Evaluator to assess and improve the quality of AI-generated software development work.
Compensation
The pay range for this position is $45000.00 - $60000.00/yr.
Responsibilities
Create realistic software engineering tasks based on real-world development workflows, including technical requirements, supporting documentation, test cases, and code repositories.
Evaluate AI-generated code solutions against professional engineering standards for correctness, maintainability, performance, and reliability.
Compare outputs from different AI systems using identical requirements and environments, documenting relative strengths and areas for improvement.
Develop test plans, evaluation rubrics, and success criteria that clearly define expected functionality, coding standards, and edge-case handling.
Review code changes, implementation decisions, automated tests, and design approaches to verify technical quality and adherence to requirements.
Requirements
Bachelor's degree (completed or in progress) in Computer Science, Software Engineering, Information Systems, or a related discipline, or equivalent practical experience.
Nice to have: containerization
Nice to have: CI/CD pipelines
Nice to have: AI-powered coding assistants
Nice to have: large language model tools such as ChatGPT, Claude, GitHub Copilot
Build and extend components of Addepar's core AI platform and tooling, work on AI features and reusable components, prototype and experiment with emerging AI/ML techniques for fintech applications, collaborate with the Core AI team on projects with clear, measurable impact, learn and demonstrate AI engineering standard processes and principles, participate in code reviews, model evaluations, and team ceremonies, document work, produce a retrospective and demonstrate summer project to an internal audience.
Compensation
$54—$54 USD
Responsibilities
Build and extend components of Addepar's core AI platform and tooling
Work on AI features and reusable components that are leveraged across multiple product teams
Prototype and experiment with emerging AI/ML techniques for fintech applications
Collaborate with the Core AI team on projects with clear, measurable impact
Learn and demonstrate AI engineering standard processes and principles
Requirements
Bachelor's or Master's degree in Computer Science, AI/ML, Data Science, or a related field
Lead Software Engineer responsible for designing, developing, and operating Payments core platforms at GrabFin, leading architectural decisions and ensuring high quality, secure, and scalable solutions.
Responsibilities
Design, develop, and maintain high-quality, secure and scalable software applications
Write clean, efficient, and maintainable code to solve challenging problems in the Fintech domain
Collaborate with cross-functional teams to define, design, and ship product features
Lead architectural decisions, technical direction, implementations, and maintenance of projects
Provide technical guidance, participate in design and code reviews
Seeking an NLP engineer for a NLP research team to develop modern NLP solutions including LLMs, agents, RAG, and open-source models fine-tuning and deployment.
Responsibilities
Exploring and combining rich internal and external textual datasets
Building GenAI solutions, leveraging both internal models and external APIs
Formulating research hypothesis to derive alpha
Post-training models for specific tasks
Benchmarking LLM approaches internal tasks
Requirements
Bachelor in computer science or another quantitative discipline
Master’s in computer science or another quantitative discipline
PhD in computer science or another quantitative discipline
Lead the design, validation, and deployment of advanced test systems for V-BAT’s critical components and subsystems, ensuring the highest reliability in aerospace hardware.
Compensation
Pay within range listed + Bonus + Benefits + Equity
Responsibilities
Lead the design, validation, and deployment of advanced test systems for V-BAT’s critical components and subsystems.
Architect PCBs and test interfaces for power electronics, RF, and communication systems.
Develop automated test sequences in Python, ensuring scalability, efficiency, and repeatability.
Design and integrate custom test fixtures, including relays, PLCs, PCBAs, and harnessing.
Own and drive cross-functional design reviews, advocating for design-for-testability (DFT) improvements.
Requirements
B.S. in Electrical Engineering or related STEM field.
Nice to have: Python
Nice to have: PCB design tools (Altium, KiCAD, Eagle)
Nice to have: CAD software (SolidWorks, NX, CATIA)
Nice to have: Experience in rugged, high-reliability industries like aerospace, defense, or automotive
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