Transparent Search Group
Open positions
Member of Technical Staff - Model Optimization and Inference
ML infrastructure/systems engineer at Nuance Labs owning end-to-end inference optimization for real-time AI avatar models (LLMs, audio, diffusion) — tuning KV cache strategies, deploying serving frameworks like vLLM and TensorRT-LLM, applying quantization, and profiling latency/throughput. On-site in Seattle 5 days/week with relocation and visa support.
Forward Deployed Engineer
Founding Forward Deployed Engineer at XDOF, a ~20-person startup building training data for physical AI and robotics. Day to day, you own end-to-end data delivery for strategic robotics and frontier AI customers — pipelines, scoping, QA, and technical support — using Python, data pipelines, and MCAP/HDF5 formats.
Forward Deployed Engineer
Founding Forward Deployed Engineer at Reducto, a document AI platform that turns unstructured documents into structured data for LLM pipelines. You'll run evals, build custom demos and agents, and own technical success for enterprise accounts using Python, Bash and LLM tooling, from the San Francisco office 5 days a week.
Systems Engineer
Systems engineer at Dedalus Labs, an 8-person YC S25 startup, building low-level compute primitives for AI agents — virtualization, sandboxing, persistent state, and distributed storage/networking at the kernel and hypervisor level. Heavy Rust/Go/C/C++ systems programming; on-site in San Francisco, $180k–$300k plus 0.5–1% equity.
Forward Deployed Insights Engineer (Applied AI)
Translucent, a ~27-person New York startup building an agentic AI platform for healthcare finance, seeks a Forward Deployed Insights Engineer to build tailored agents, predictive models and customer context layers in Python and SQL, validate outputs with evals, and iterate with health system finance leaders. Requires 4 days/week in the Union Square office.
Head of Engineering
Head of Engineering Company: Confidential — venture-backed technology company Location: New York, NY (in office 5 days per week strongly preferred) Compensation: $250,000 - $300,000 + up to 5% equity Employment Type:…
Machine Learning Engineer - Infrastructure
Infrastructure engineer at Causal Labs (AI startup) building and optimizing large distributed ML training and inference clusters for a Large Physics foundation Model, starting with weather prediction. Core stack: FSDP, DeepSpeed, NVIDIA GPUs, Python/C++, Kubernetes, Docker, GCP/AWS/Azure; on-site in San Francisco 5 days a week.
Machine Learning Researcher
Machine learning researcher at Causal Labs (via Transparent Search Group) building a Large Physics foundation model starting with weather, working across the full ML stack — data pipelines, novel architectures, training, and evaluation — in Python/PyTorch on 100s–1000s of GPU clusters. Onsite in San Francisco 5 days a week.
Member of Technical Staff
Member of Technical Staff at Wafer AI, a ~7-person AI inference cloud startup in San Francisco. You work close to the hardware on the LLM serving stack: day-zero model support, batching/KV cache/quantization optimization, and writing CUDA/HIP/Triton GPU kernels across NVIDIA, AMD, TPU and Trainium hardware, on-site 5 days a week.
Member of Technical Staff - Applied ML
Applied ML engineer at Basis, an AI-agent startup for accounting, owning end-to-end projects that make agents reason, plan, and evaluate themselves: designing multi-agent architectures, managing context/memory, and building evaluation, retrieval, and document-parsing pipelines in Python, Postgres, and LLMs. Onsite in NYC 5 days/week.
Member of Technical Staff, ML Systems
ML systems engineer at TensorScale who optimizes speed and efficiency across the training and inference stack for video, image, and world-model workloads. Day-to-day work involves writing CUDA/Triton GPU kernels, profiling with Nsight, and building distributed multi-node inference and training systems. Onsite in Menlo Park 5 days a week.
ML Infrastructure Engineer
Dyna Robotics is hiring an ML Infrastructure Engineer in Redwood City (in office 5 days/week) to own training infrastructure end to end: scaling distributed training across multi-cloud GPU fleets, building scheduling tooling, and optimizing low-latency inference for robot control. Core stack includes PyTorch, FSDP/ZeRO, Kubernetes, SLURM, CUDA, and TensorRT/Triton.
AI Field Engineer - Enterprise
AI Field Engineer - Enterprise Company: Confidential — generative AI inference and fine-tuning platform Location: US-based, remote-friendly (offices in San Mateo, CA and New York, NY); regular travel to enterprise…
Senior AI Engineer (Studio)
Senior AI Engineer at AIVC's venture studio, building end-to-end agentic AI systems (agents, retrieval, orchestration) for new ventures from zero to product-market fit. Hybrid role in New York (Flatiron) or Chicago; Python/LLM stack; $190k-$250k plus equity.
Senior Engineering Manager
Senior Engineering Manager Company: Confidential — AI-powered tools Location: San Francisco, CA (downtown office, 5 days per week) Compensation: $415,000 - $450,000 + competitive equity Employment Type: Full-time Visa…
Software Engineer - Marketplace (Growth Infrastructure)
AfterQuery, a fast-growing AI data-infrastructure startup in San Francisco, seeks a full-stack engineer (2+ yrs) to build its expert marketplace platform — outreach tooling, AI interviewing, assessments, onboarding and matching — using TypeScript, Next.js, React, Node.js, Python, and AWS/GCP infra.
Forward Deployed AI Engineer, Post-Sales
Forward Deployed AI Engineer at DatologyAI: a post-sales technical advisor who owns onboarding, deployment, and production rollouts of its AI training-data curation platform for strategic customers across on-prem, hybrid, and multi-cloud environments. Core stack: Python/SQL, Kubernetes, AWS/GCP/Azure, distributed systems, and data pipelines.
Forward Deployed Engineer
A forward deployed engineer at Strala, an AI-native insurance claims company, owns client deployments end to end — deploying multi-modal, agentic AI systems into production, integrating with client APIs and systems, and shaping the product based on what works. Core stack: Python, APIs, cloud platforms, and LLM/prompt engineering, working on-site in San Francisco.
Founding AI/ML Engineer
Founding AI/ML engineer at Closure, a YC-backed startup helping US law enforcement search digital evidence. You'll build retrieval pipelines over massive video/audio/text datasets, integrate LLMs and VLMs into investigative workflows, and ship secure distributed systems end to end.
Founding Engineer - Applied AI
Antes, a stealth startup building AI for complex hardware manufacturers, is hiring a founding Applied AI Engineer to design, build, and post-train AI agents that automate hardware engineering workflows in enterprise tools. Core stack centers on LLMs and ML libraries like PyTorch, Hugging Face, and Weights & Biases.