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Software Engineer, C++ Systems
Builds and maintains a core C++ GPU virtualization library for a cloud infrastructure startup, researching GPU oversubscription and checkpointing, extending support for new GPU architectures, and debugging production performance issues for AI/ML workloads. On-site in San Francisco; $250k–$325k with visa sponsorship.
Application Engineer- ServiceNow (MUST BE CLEARED SECRET)
At Tlingit Haida Tribal Business Corporation (THTBC), your work goes beyond the job description—it becomes part of a purpose-driven legacy. Our continuous commitment to growth directly contributes to the strength,…
Staff Software Engineer: Platform R&D
The Staff Software Engineer will design and evolve core backend systems for large-scale cloud services, focusing on high-volume data ingestion, processing, and storage. This hands-on leadership role involves building scalable, resilient distributed systems using languages like Go, Rust, Java, or Python.
Sr. Software Development Engineer
Senior backend engineer on the Data Platform team responsible for designing and building high-scale systems that ingest and enrich billions of records. Core technologies include Java, Spring Boot, Kafka, PostgreSQL, and Elasticsearch.
Lead Software Development Engineer
Lead a small engineering team to design, build, and own scalable backend systems that ingest, process, and surface billions of records using Java, Kafka, Elasticsearch, and cloud infrastructure.
Senior AI / ML Engineer (Long Term B2B Contract- Remote EU)
Senior AI/ML engineer owning the productionization, deployment, and optimization of ML systems behind Besedo's Implio content-moderation SaaS: training/retraining pipelines, high-performance inference (ONNX/TensorRT, quantization, GPU tuning), CI/CD, and monitoring. 100% remote anywhere in the EU; B2B contract.
Director of Technology & Data Engineering
Hands-on director-level player-coach who owns Momentous' enterprise IT, cloud data platform (GCP/BigQuery), integrations across Shopify, Recharge, ERP and Amazon, and a governed dbt semantic layer, while building AI-ready architecture, MCP-based agent integrations, and leading security, privacy, and technology strategy.
Quantitative Developer - CIO Office
Build and maintain the quantitative research infrastructure for a hedge fund’s Portfolio Construction and Analysis team, using Python and SQL to automate data access, risk modeling, and backtesting.
Quantitative Researcher - Machine Learning
Research and build ML-driven trading models using deep learning and NLP to forecast market behavior and enhance financial predictions.
Data Engineer, Knowledge Graph
Build and maintain a financial knowledge graph to model complex relationships between companies, industries, and economic insights using graph databases and Python.
2027 Software Engineer - Campus Graduate Program - IIT Kanpur
Campus graduate software engineer (2027 program) in Point72/Cubist's Bengaluru technology team, building mission-critical trading, real-time data-ingestion, and AI-driven research systems for a global hedge fund. Stack includes Python, Java, C++, React, Kafka, Spark, Postgres, AWS, Kubernetes, and Terraform.
Machine Learning Engineer, Perception
Path Robotics is hiring CV/ML engineers (experienced through staff level) to build weld perception systems for its AI-driven robotic welding platform — developing point cloud registration, seam detection, and real-time tracking models in Python/PyTorch, managing 3D data pipelines, and deploying into ROS-based robotics services. Columbus, OH or remote.
Senior Ai/ML Engineer
Remote senior AI/ML engineer at Redhorse Corp supporting U.S. Air Force Condition-Based Maintenance Plus (CBM+) predictive maintenance and logistics. Day to day: architecting data pipelines (Databricks, PySpark, SQL), building NLP/deep learning/generative AI models, and leading MLOps. Requires an active Secret security clearance.
Senior AI Data Engineer — Scalable Data & GenAI Platform
Senior data engineer at Singtel designing, building, and operating scalable data ingestion pipelines in a hybrid cloud platform. Day-to-day work centers on transforming data with PySpark and SQL, ensuring production readiness and observability, and leading RAG/knowledge-base GenAI integrations.