Point your AI agent at freehire and let it find you a job. A CLI and an MCP server over the whole job API — no browser.
Line of Service Advisory Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate Job Description & Summary At PwC, our people in data and analytics focus on leveraging…
This role is for one of Weekday’s clients Salary range: Rs 7000000 - Rs 12000000 (ie INR 70 - 120 LPA) Min Experience: 14+ years Location: Bengaluru JobType: full-time We are seeking a passionate and dynamic Senior…
Job Description Thomson Reuters Labs is the global research and development division of Thomson Reuters. We bring together scientists, engineers, and domain experts to explore emerging technologies and develop…
AI Applications Engineer – Remote Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States. This is a…
Director AI Engineering (Remote Eligible) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to…
Senior/Staff infrastructure engineer who owns the internal platform at a minerals company: EKS and on-prem edge Kubernetes clusters, GitOps delivery (ArgoCD, Helm, Pulumi), observability (Prometheus, Grafana, Loki), identity/secrets, and cloud cost — with a focus on self-service infrastructure other engineers can run themselves.
Senior/Staff ML engineer owning the reinforcement learning roadmap for Wayve's end-to-end autonomous driving models — developing offline/off-policy RL and reward-guided post-behavior-cloning methods, building large-scale training/evaluation pipelines, and validating improvements via simulation and on-road evaluation. Core stack: Python and PyTorch.
Senior/Staff ML engineer on Wayve's Core Model Safety team (AV Core) in Sunnyvale, leading learned emergency manoeuvre prediction and collision detection for autonomous vehicles — training and deploying end-to-end AV models with Python and PyTorch on large-scale fleet data, from research through evaluation to deployment evidence.
Principal engineer on Wayve's Model Foundations team, serving as a hands-on technical leader setting the direction for geometric vision in autonomous driving. Day to day they design and train large-scale 3D foundation and world models, build auto-labeling/SLAM data pipelines, and deploy models to real vehicles using PyTorch, Python/C++, and camera, radar, and LiDAR data.
Overview Microsoft Silicon, Cloud Hardware, and Infrastructure Engineering (SCHIE) is the team behind Microsoft’s expanding Cloud Infrastructure and responsible for powering Microsoft’s “Intelligent Cloud” mission.…
As Principal AI Platform Engineer, you’ll be the key architect and technical owner of the platform that powers Nearmap AI innovation. You’ll lead a team of 3 to 4 mid-level and Senior Engineers, set the technical…
RL infrastructure engineer building and scaling end-to-end reinforcement-learning training systems for foundation models: extending distributed training frameworks (DeepSpeed, FSDP), integrating rollout engines like vLLM/SGLang, and building multi-node, multi-GPU launch, monitoring, and failure-recovery systems in Python/PyTorch or JAX.
This engineer extends and scales distributed LLM pre-training infrastructure at a foundation-model research lab: modifying frameworks like DeepSpeed/FSDP, implementing distributed optimizers from math specs, and building launch, monitoring, and checkpointing systems across multi-node GPU clusters using PyTorch or JAX.
Optimizes GPU/CUDA kernel performance for foundation-model training and inference at a dedicated AI research lab: profiling deep-learning workloads, building benchmarks and automation tools, and integrating high-performance kernels with PyTorch using C++ and Python.
Wayve is hiring an Applied Scientist / ML Engineer for its Enrichment and Curation team in Sunnyvale, mining petabyte-scale real-world driving data into high-quality training datasets and benchmarks for its end-to-end AI Driver. Day-to-day involves embeddings, active learning, similarity search, and large-scale data pipelines using Python, SQL, and Spark.
Overview The Microsoft Content team powers AI-driven experiences for more than 1B users across Copilot, Bing, Edge, Windows, and Xbox. We are seeking a Principal Applied Scientist to define and develop the next…
Trains and operates models on Amazon SageMaker running on AWS Trainium custom silicon, writing and optimizing distributed PyTorch training code and debugging hardware/compiler-level issues. Works forward-deployed, embedded with enterprise client teams to deliver production training pipelines, not proofs of concept.
A 12-week paid summer internship (May–August, Tuesday–Friday) in Las Vegas with TensorWave's engineering team, working on real production systems for its GPU cloud platform — cloud control plane, orchestration, user-facing APIs, and internal tooling — including automation, monitoring, and performance debugging with Slurm and Kubernetes in a bare-metal AI compute environment.
About JazzX AI: Vision: Enterprises operating on institutional intelligence—governed, self-improving, and scalable beyond individual expertise. JazzX AI is defining the future of enterprise work—by building AI-native…
A software engineer on Wayve's AI Libraries team builds Python platforms, tools, and reusable abstractions that let ML engineers train, evaluate, and deploy autonomous-driving models at scale on thousands of GPUs. Core work spans multimodal data loading, distributed training/inference, checkpointing, and observability, using PyTorch/TensorFlow and cloud environments like Azure.
We couldn't check your fit for this role — add a CV to your profile to see it next time.