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Worker Type Supplemental Job Description Intern – Machine Learning (Computer Vision) Summary Summer Internship Program Our paid Summer Internship Program is designed to provide students with an immersive, hands-on…
Summary We are excited to offer an internship opportunity for a motivated and enthusiastic individual with solid Python programming skills. As an intern, you will have the chance to work on smaller standalone research…
Job Description WHAT WE DO: At Goldman Sachs, our Engineers don't just make things – we make things possible. Change the world by connecting people and capital with ideas. Solve the most challenging and pressing…
A career in IBM Consulting is built on long-term client relationships and close collaboration worldwide. You'll work with leading companies across industries, helping them shape their hybrid cloud and AI journeys.…
Senior/Lead Data Scientist at o9 Solutions in Bengaluru building demand-sensing and forecasting models for the company's enterprise supply-chain planning platform. Day to day: develop and tune statistical/ML time-series models (exponential smoothing, ARIMA, Prophet, neural nets, optimization) using Python/R and integrate them with external systems.
A summer 2027 data science internship on Lyft's Algorithms team in San Francisco, building mathematical, optimization, and machine-learning models behind the rideshare platform's pricing, dispatch, and incentives systems. Interns write production modeling code, run experiments, and analyze marketplace data using Python and standard ML libraries.
Lyft is hiring a Data Science intern (Summer 2027, Toronto, hybrid) to build mathematical models behind its ridesharing marketplace, specializing in optimization, machine learning, or inference/causal experimentation. Day-to-day involves Python-based modeling, running live and simulated experiments, and partnering with engineers to ship algorithms to production.
Lyft is hiring a Summer 2027 Machine Learning intern in Toronto to help design, train, and test ML models and turn them into production pipelines at petabyte scale. The role requires Python, ML libraries like PyTorch/TensorFlow, and study at a Canadian university, working hybrid (3 days/week in-office).
Data Scientist on Lyft's Mapping team in Toronto, using SQL, Python/R, and ML to improve route recommendations and travel-time estimates for rideshare drivers. Day to day: designing experiments, building metrics and analytical frameworks, and partnering with product and engineering on launch decisions.
Backend Software Engineer in Barcelona contributing to Citibeats' core AI & NLP engine and its API — developing new features, API endpoints and microservices, debugging, reviewing code, and writing technical documentation. Core stack is Python, SQL, and Django in an Agile team.
Machine Learning Engineer at HeartVista (Palo Alto) applying deep learning to MRI technology — working on image acquisition, reconstruction, post-processing, and real-time feedback algorithms for clinical use. Core stack includes TensorFlow/PyTorch/Keras, Python, C++, Linux, and Git, with opportunities to publish and attend conferences.
MobSquad is hiring a Computer Vision Engineer in Toronto to build CV pipelines and segmentation/detection models (e.g., Mask2Former, SAM, ViT, Swin) for aerial and oblique imagery, supporting an applied AI lab client. Day-to-day work spans deep learning experiments, ML infrastructure, deployment/inference optimization, and reproducing papers from venues like CVPR and NeurIPS using Python and Tenso
Intern in Hitachi Rail's Research Technology and Innovation Team, building prototypes and industrializing them for AI applications on time-series and event data from fare collection and supervision systems. Day-to-day: Python/ML coding, testing and validation, documentation, and packaging in Docker containers.
Grow with us Baseband System Developer Co-op Location: Ottawa, ON. Duration: 8 – 16 months (for co-ops) Start date: January 11th, 2027 Please upload your unofficial transcript when applying. (Use the "Cover…
AI/ML Engineer in Madrid (hybrid) at Lynx, a financial-crime-tech company: builds, trains, validates and fine-tunes ML/LLM models and agentic AI systems for fraud prevention and AML, using Python, Scikit-learn/Pandas/NumPy, LangChain/LangGraph, and MLOps practices.
Consultant at Capgemini Invent who builds machine-learning, generative-AI and advanced-analytics solutions for clients across industries — from strategy and prototypes to productive implementation. Day-to-day work happens in interdisciplinary transformation teams, plus AI labs and hackathons, using Python, PyTorch, Keras, Spark and cloud platforms.
Wir bei Capgemini Invent glauben, dass unterschiedliche Perspektiven den Wandel vorantreiben. Als innovative Transformationsberater vereinen wir unsere strategischen, kreativen und wissenschaftlichen Fähigkeiten und…
BlueOptima has a truly unique collection of vast datasets relating to the changes that software developers make in source code when working in an enterprise software development environment. As a Machine Learning Data…
Builds and improves ML models (NLP, tabular data, and optionally CV) using Python, PyTorch/TensorFlow, and SQL; writes production-ready code and translates business needs into ML tasks.
Build and maintain AI-powered systems for competitive intelligence using LLMs, RAG, and agentic workflows to automate data collection and insights delivery across JFrog’s DevSecOps ecosystem.
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