Machine Learning architecture jobs

Software Engineering Manager II, TPU Superpod Health Management

Google · Posted Nov 11, 2026

Open

Sunnyvale, California, United States
On-site
Manager
$207K–$300K per year

Software Engineering Manager II, TPU Superpod Health Management

Google · Posted Nov 11, 2026

Open

Sunnyvale, California, United States
On-site
Manager
$207K–$300K per year

Solutions Acceleration Architect, Google Cloud

Google · Posted Nov 11, 2026

Open

Bengaluru, Karnataka, India +2 more
On-site
6+ years

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Lead the design and development of cutting‑edge prototypes and AI‑powered solutions on Google Cloud Platform to solve complex business challenges for customers.

Locations (3)

Bengaluru, Karnataka, India
Gurgaon, Haryana, India
Mumbai, Maharashtra, India

Responsibilities

Own the technical relationship with partners, empowering them to drive a successful pilot or proof‑of‑concept
Build trusted advisory relationships and make recommendations on integration strategies, enterprise architectures, platforms, and application infrastructure
Lead the design, development, and iterative refinement of data‑centric and AI‑powered solutions on GCP
Establish and promote innovative best practices and methodologies for AI‑driven solutions

Machine Learning Engineer

Zeromatter Technologies Inc · Posted Nov 9, 2026

Open

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Responsibilities

Develop and implement machine learning models to improve the realism of simulated sensor data, including for example approximation of light transport, material models, 3D representation and black box sensor characterization.
Develop content generation systems for creating diverse and realistic simulation scenarios, including perception signals from geospatial data, measurements from novel hardware, and structured and unstructured text conditioning.
Create behavior models for various actors in simulations such as pedestrians, vehicles, drones.
Design and implement reinforcement learning algorithms for training robotic systems within the simulation environment.
Optimize ML model performance for simulation applications, including low latency inference, architectural improvements and model compression.

Requirements

Master's or PhD in a relevant field (e.g. computer science, mechanical engineering, physics, math, robotics, etc.) or equivalent working experience.
Nice to have: C
Nice to have: C++
Nice to have: Rust
Nice to have: CUDA

Skills

Python PyTorch TensorFlow machine learning architecture reinforcement learning generative models computer vision software engineering best practices version control testing CI/CD

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Machine Learning architecture jobs

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