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Senior Machine Learning Engineer
Design and deploy production-grade computer vision and machine learning models to power agentic tools for game development and automated content verification at a leading game engine company.
Senior Machine Learning Programmer
Senior machine learning programmer on Epic Games' Special Projects team designing, building, and deploying production-ready ML models for gameplay bots, intelligent NPCs, and automation (moderation, security, QA testing). Core tech: deep learning, reinforcement learning, vision-language models, Python/PyTorch.
Programmeur sénior, apprentissage automatique
Senior machine learning programmer on Epic Games' Special Projects team in Montreal, building production-ready ML models and algorithms for game bots, playable agents, world modeling, and automation (moderation, security, QA) within the Unreal Engine ecosystem. Core stack: deep learning, reinforcement learning, vision-language models, Python/PyTorch.
Stagiaire en apprentissage automatique
Paid ML research internship with Epic Research, working alongside researchers on cutting-edge AI for Fortnite, Unreal Engine and MetaHuman — topics include LLM-driven characters, game agents, 3D person/object tracking, reinforcement learning, speech systems and multimodal diffusion models. Open to current or recent PhD graduates with top-tier publications.
Machine Learning Intern
Build ML models (vision, language, speech) for game agents, player safety, and Unreal Engine tools; prototype with PyTorch and deploy at scale.
Machine Learning Intern
Build ML models for game agents, player safety, and UX improvements using vision, language, and speech processing in Unreal Engine’s research team.
Machine Learning Engineer Internship-Summer 2027
An 11-week paid Summer 2027 internship (June 1–Aug 13) at Klaviyo's Palo Alto Tech Innovation Hub, working with ML and full-stack engineers to build, deploy, and scale models using deep learning, NLP, recommender systems, and generative AI on Klaviyo's massive customer data streams. In office 5 days a week; open to advanced-degree students.
Engineering Manager, Active Sensors (LiDAR)
Leads Torc's Active Sensors team building the end-to-end lidar/radar perception pipeline for autonomous trucks — people management, technical direction, and delivery of production ML models (object detection, lane detection, 3D occupancy) that run in real time on embedded compute. Core stack: Python, PyTorch, C++, TensorRT.
Senior, Machine Learning Engineer - Camera Model
Develop and deploy deep learning models for camera-based perception in autonomous trucks, focusing on object detection, segmentation, and depth estimation using Python and PyTorch.
Staff, Machine Learning Engineer - BEV/Multi-Modal Perception
Staff-level machine learning engineer leading development of bird's-eye-view (BEV) and multi-modal perception models that fuse camera, LiDAR, and radar data for Torc's autonomous truck stack. Day-to-day is BEV transformer architecture design, large-scale distributed training in Python/PyTorch, evaluation, and mentoring — remote in the US or hybrid in Ann Arbor, MI.
Machine Learning Engineer, II - 3D Perception
Build and improve 3D perception models (LiDAR, cameras) for autonomous trucks using PyTorch and Python, integrating ML into Torc’s autonomy stack.
Senior, Machine Learning Engineer - 3D Perception
Senior Machine Learning Engineer designing and deploying 3D perception models for autonomous trucks, using PyTorch and multi-modal sensor data to improve environmental understanding.
Senior, ML Engineer - VLM
Senior ML Engineer builds and curates large-scale vision-language datasets to train Torc’s autonomous truck-driving models, using cloud pipelines, open-vocabulary labeling, and distributed compute.
Senior, ML Engineer - 3D Reconstruction
Build and deploy ML systems that reconstruct 3D lane lines and maps from noisy sensor data (cameras, LiDAR, radar, GPS/IMU) to power autonomous truck perception and HD mapping.
Data & Ai Engineer
Senior Data Scientist Lead at Cognodata, a Customer Science and Marketing Automation company in Madrid. The role sets AI/ML strategy and governance, leads multidisciplinary data teams, and oversees model industrialization (~70% leadership), with ~30% hands-on technical work on Azure architectures, Databricks pipelines, MLOps, and GenAI/LLM/RAG initiatives.
IN_Manager_Data Scientist_GCC_ Advisory_ Bangalore
Manager-level Data Scientist in PwC's Advisory/GCC in Bengaluru: builds statistical, ML and GenAI/LLM solutions for client business problems — Python/R/SQL modelling, deep learning, cloud ML deployment (Azure/AWS/GCP), MLOps, and prompt engineering on LLMs.
Senior Data Scientist - AI & GenAI
Senior Data Scientist in Hyderabad designing and deploying production AI/GenAI solutions — RAG pipelines, assistants, forecasting, and regulatory knowledge bases — while owning the end-to-end ML lifecycle. Core stack includes Python, SQL, ML/NLP, and cloud AI platforms (Vertex AI, SageMaker/Bedrock, Azure AI).
Data Scientist 2
Data Scientist on Epsilon's Automotive Practice team, building machine learning and deep learning solutions (acquisition, engagement, retention) for OEMs and dealerships in North America. Day-to-day involves end-to-end MLOps — data ingestion, training, deployment, monitoring — using Python, PySpark, SQL, Databricks, and AWS/Azure.