Tech jobs
Job listings
Senior Machine Learning Engineer - Open Application
Senior Machine Learning Engineer (open application/talent network) at Teads in Ljubljana: designs, develops, and monitors ML models and tooling for a large-scale ad platform processing billions of daily ad opportunities, collaborating with data scientists and mentoring teammates. Core stack is Python, Java, and Scala, with exposure to Spark, TensorFlow/PyTorch, and cloud infra.
Senior Machine Learning Engineer
We are hiring a Senior Machine Learning Engineer to contribute to cutting-edge Research & Development. As innovators in speech technology, our mission is to Understand Every Voice - a vision that has propelled us to be…
Senior Machine Learning Engineer (Safety)
Why Faculty? We established Faculty in 2014 because we thought that AI would be the most important technology of our time. Since then, we’ve worked with over 350 global customers to transform their performance through…
Senior Data AI/ML Engineer — Multi-Agent GenAI & MLOps
Senior Data/AI/ML Engineer at Cartology (Woolworths Group NZ) in Auckland: design, deploy, and manage multi-agent GenAI ecosystems and robust, well-governed data architectures, apply modern MLOps and cost-aware cloud practices, and mentor teammates while collaborating cross-functionally to scale data capabilities.
Senior Climate Machine Learning Scientist
Your Team Responsibilities Build physical climate risk models using state-of-the-art methodologies including AI numerical weather prediction applied to climate applications; stochastic ensembles; earth observing…

Senior Manager, Machine Learning
Leads Arkose Labs' ML team in Pune, setting the technical direction for machine learning across its fraud-detection and risk-scoring products. The role is a hands-on builder-manager: coaching ML researchers while driving model design, MLOps, and applied research in graph ML and behavioral analytics for real-time fraud decisioning.

Senior Machine Learning Researcher
Senior ML Researcher at Arkose Labs building machine learning and deep learning models to detect bots, fraud, and security threats. Day-to-day involves independent research, data analysis, and integrating ML solutions into security products using Python, TensorFlow, and PyTorch.
Senior Director of Machine Learning
Lead and grow ML engineers, applied scientists, and ML production engineers building AI services end to end — from problem framing through production operation Own the strategy for how we build on top of frontier LLMs:…
Senior Machine Learning Consultant
Purpose: Lead the discovery and pilot migration while actively contributing to architecture, engineering, and delivery activities. Key Responsibilities Perform hands-on assessment of Azure ML models, pipelines,…
Senior Machine Learning Engineer, FinTech
At DraftKings, AI is becoming an integral part of both our present and future, powering how work gets done today, guiding smarter decisions, and sparking bold ideas. It’s transforming how we enhance customer…
Senior Machine Learning Engineer
Worker Type Regular Job Description NOTE : to qualify for this role, you must be a U.S. Citizen Summary The Senior Machine Learning Engineer will be a member of the Learning and Active Perception (LEAP) group in AV’s…
Senior Machine Learning Engineer – NLP/LLM
Job Description As a Senior Machine Learning Engineer , you will build and deploy production machine learning and large language model (LLM) systems that extract actionable insights from complex legal documents and…
Senior Software Engineer, AI/ML, YouTube
Senior Software Engineer on YouTube's AI/ML team at Google, writing and testing production code, designing ML solutions, and leveraging ML infrastructure to debug and resolve issues at massive scale. Core technologies are Python, C++, and machine learning infrastructure (deployment, evaluation, optimization, data processing).
Senior AI/ML Solutions Engineer
Customer-facing AI/ML solutions engineer on AMD's Software and Solutions team, helping enterprise customers and partners adopt AMD's AI stack on Instinct GPUs — building reference designs, tuning performance, and prototyping training, fine-tuning, and inference workflows using PyTorch, TensorFlow, JAX, ROCm, vLLM, and Triton.

