Mechanical Engineer & Python Expert - Freelance AI Trainer
Contributors may design graduate- and industry-level mechanical engineering problems grounded in real practice, evaluate AI-generated solutions for correctness, assumptions, and engineering logic, validate analytical or numerical results using Python (NumPy, SciPy, Pandas), improve AI reasoning to align with first principles and accepted engineering standards, and apply structured scoring criteria to assess multi-step problem solving.
Electrical Engineer & Python Expert - Freelance AI Trainer
Contributors may design rigorous electrical engineering problems reflecting professional practice, evaluate AI solutions for correctness, assumptions, and constraints, validate calculations or simulations using Python (NumPy, Pandas, SciPy), improve AI reasoning to align with industry-standard logic, and apply structured scoring criteria to multi-step problems.
Customer Support Engineer (Inference), India
Advance inference efficiency end-to-end by designing and prototyping algorithms, architectures, and scheduling strategies for low-latency, high-throughput inference. Implement and maintain changes in high-performance inference engines, including kernel backends, speculative decoding, and quantization. Profile and optimize performance across GPU, networking, and memory layers to improve latency, throughput, and cost. Design and operate RL and post-training pipelines, jointly optimizing algorithms and systems to make inference and post-training workloads more efficient. Train, evaluate, and iterate on frontier models using these pipelines. Co-design algorithms and infrastructure for tightly coupled objectives, rollout collection, and evaluation to efficient inference. Identify bottlenecks across training engine, inference engine, data pipeline, and user-facing layers. Run ablations and scale-up experiments to understand trade-offs between model quality, latency, throughput, and cost, feeding insights back into model, RL, and system design. Profile, debug, and optimize inference and post-training services under real production workloads. Drive roadmap items requiring engine modification such as changing kernels, memory layouts, scheduling logic, and APIs. Establish metrics, benchmarks, and experimentation frameworks to rigorously validate improvements. Provide technical leadership by setting technical direction for cross-team efforts at the intersection of inference, RL, and post-training, and mentoring other engineers and researchers on full-stack ML systems work and performance engineering.
Automotive Engineering & Python Expert - Freelance AI Trainer
Contributors may design graduate- and industry-level automotive engineering problems grounded in real practice; evaluate AI-generated solutions for correctness, assumptions, and engineering logic; validate analytical or numerical results using Python (NumPy, SciPy, Pandas); improve AI reasoning to align with first principles and accepted engineering standards; and apply structured scoring criteria to assess multi-step problem solving.
Automotive Engineer with Python - Freelance AI Trainer
Contributors may design graduate- and industry-level automotive engineering problems grounded in real practice; evaluate AI-generated solutions for correctness, assumptions, and engineering logic; validate analytical or numerical results using Python (NumPy, SciPy, Pandas); improve AI reasoning to align with first principles and accepted engineering standards; and apply structured scoring criteria to assess multi-step problem solving.
Senior Prompt Engineer
Design and optimize client-specific prompts, prompt recipes, and templates for accuracy, reliability, and business rule compliance. Define system prompts, tool descriptions, memory strategies, and guardrails for agentic AI frameworks. Build agent workflows, task orchestration, and custom tools aligned with customer requirements. Develop end-to-end AI solutions, including backend services, APIs, integrations, and custom scripts for testing and automation. Apply data science techniques to evaluate prompt performance, conduct error analysis, and benchmark LLMs. Create and maintain automated evaluation frameworks to measure quality, cost, latency, and safety. Collaborate cross-functionally, mentor junior prompt engineers, and maintain clear documentation. Stay current with advancements in LLMs, NLP, agentic AI, and prompting strategies.
Sr Staff Engineer, CPU System Microarchitect
Contribute to defining and building next-generation CPU networking architecture for datacenter and emerging robotics/automotive applications, including current datacenter networking and specifying future medium- to low-power robotics/automotive devices for AI/ML compute and sensor ingest. Work at the intersection of Network on Chip (NoC), performance modeling, and RTL design to guide architectural decisions. Collaborate across hardware, software, and systems teams to define and refine networking requirements. Help drive the advancement of next-generation CPU networking architecture for AI/ML workloads.
Forward Deployed Engineer (India)
Write and ship production-grade code by designing, building, and deploying voice AI systems that power real enterprise workflows. Own end-to-end deployments including discovery, architecture, implementation, and rollout for strategic customer engagements. Drive progress in ambiguity by moving projects forward when requirements are incomplete, constraints evolve, or systems encounter unexpected failures. Deliver solutions across complex infrastructure such as cloud, VPC, and on-prem environments while managing security, networking, and compliance requirements. Diagnose and resolve integration failures, performance bottlenecks, and deployment issues under real-world constraints. Identify new use cases and prototype solutions to deepen adoption and increase long-term customer value. Surface recurring patterns from customer feedback to engineering and product teams to influence roadmap and reusable capabilities. Build scalable solutions by transforming one-off implementations into repeatable playbooks, templates, and reference architectures.
Senior Data Engineer
Lead the end-to-end design and delivery of scalable, secure, and intelligent data products and solutions that support HackerOne’s transformation into an AI-first organization. Partner across business and engineering teams to identify high-leverage opportunities for automation, integration, and system modernization. Drive the architecture and execution of platform-level capabilities, leveraging AI and modern tooling to reduce manual effort, improve decision-making, and increase system resilience. Provide technical leadership to internal engineers and external development partners, ensuring design quality, operational excellence, and long-term maintainability. Shape and contribute to incident and on-call response strategy, playbooks, and processes, focusing on building systems that fail gracefully and recover quickly. Act as a multiplier to mentor other engineers, advocate for technical excellence, and promote a culture of innovation, curiosity, and continuous improvement. Champion effective change management and enablement, ensuring systems are launched, adopted, understood, and evolved.
Senior ML Operations (MLOps) Engineer
The Senior ML Operations (MLOps) Engineer at Eight Sleep is responsible for introducing and implementing cutting-edge ML technologies, owning the design and operation of robust ML infrastructure including scalable data, model, and deployment pipelines to ensure reliable model delivery to production. They collaborate cross-functionally with R&D, firmware, data, and backend teams to ensure reliable and scalable ML inference on Pods. They optimize ML systems for cost, scalability, and performance across training and inference, and develop tooling, microservices, and frameworks to streamline data processing, experimentation, and deployment. The role requires effective communication in a remote work environment.
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