Senior Software Engineer responsible for working within Cloud Services for the Sponsor, using Python, Javascript, and other tools to provide software development support.
Compensation
The pay range for this position is: $200,000 - $270,000
Responsibilities
Work within Cloud Services for the Sponsor
Use Python, Javascript, and other tools to provide software development support
Integrate services such as C2S services including Lambdas, SNS, SQS, etc.
Demonstrate experience working with other technical teams across multiple organizational boundaries
Requirements
Bachelor's degree in engineering, mathematics, or computer science
Build and maintain backend services and APIs that power ML-driven features across the Good Inside platform, integrating ML models and third-party APIs into production systems.
Compensation
base salary for this role will be $205k - $235k
Responsibilities
Design, build, and maintain backend services and APIs that power ML-driven features across the Good Inside platform
Integrate and orchestrate ML models and third-party ML APIs into production systems
Build data pipelines and infrastructure to support model serving, feature storage, and real-time personalization
Collaborate closely with product, mobile, and design teams to translate ML capabilities into user-facing features
Own the reliability, performance, and scalability of ML-adjacent backend systems
Own the data layer that makes CX work, design analysis and measurement frameworks, build and scale reporting pipelines, and partner with cross‑functional teams to drive data‑driven CX strategy.
Locations (2)
Denver, Colorado, United States
New York, New York, United States
Compensation
Our cash compensation amount for this role is $132,210/yr to $165,263/yr in Denver, $160,000/yr to $200,000/yr for New York. Final offer amounts are determined by multiple factors including candidate location, experience and expertise and may vary from the amounts listed above.
Responsibilities
Own ambiguous problems, design analysis and measurement frameworks, and introduce policies and practices by which data integrity is monitored and enforced within your domain.
Deliver multiple high‑impact projects, balancing trade‑offs to maximize business value, and maintain clear expectations of deliverables and timelines.
Partner with CX leaders, cross‑function data‑science teams, tool developers (e.g. Salesforce), and data engineering to align on strategy.
Apply advanced statistical methods and AI‑driven anomaly detection to proactively uncover opportunities, diagnose performance issues, and shape CX strategy.
Build GPU-accelerated simulation software for autonomous driving and reinforcement learning, improve throughput, profile and optimize workloads, develop tests and benchmarks, collaborate with cross-functional teams.
Responsibilities
Build GPU-accelerated simulation software for autonomous driving and reinforcement learning.
Improve the throughput of parallel simulation workloads and their integration with training workflows.
Profile simulation and training workloads, and optimize CPU and GPU execution, memory usage, and data transfer.
Develop tests and benchmarks to measure correctness, performance, and reproducibility.
Collaborate with data, planning, and machine learning engineers on implementation, design discussions, and code reviews.
Requirements
Bachelor's or Master's degree in Computer Science, Computer Engineering, Robotics, Electrical Engineering, or a related field, or equivalent practical experience.
Support and maintain trading technology systems, ensuring high availability and performance for market operations.
Compensation
The annual base salary range for this position is $85,000 - $125,000, depending on the candidate’s experience, qualifications, and relevant skill set. The position is also eligible for an annual discretionary bonus.
Responsibilities
Keep trading systems healthy and available by proactively spotting and resolving potential issues
Respond to trader and engineer requests with urgency and operational context
Participate in onboarding of new desks and systems
Learn the trading environment deeply to anticipate challenges and suggest improvements
Requirements
Bachelor’s degree in Computer Science, Engineering, or related STEM field
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