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Founding Machine Learning Engineer
Own the machine learning function at an early-stage AI company: build training-data pipelines, evaluation benchmarks, agent environments, and observability/replay infrastructure, while setting the ML roadmap and leading the growing ML team. Core work centers on Python and systems-level ML infrastructure.
Senior Machine Learning Engineer (Biometrics & Face Recognition)
Senior ML engineer on Scandit's ID Capture team in Tampere, owning end-to-end face recognition, 1:1 face matching and liveness/PAD models for high-assurance identity verification. Models run fully on-device; stack is Python, PyTorch, ONNX and a C++ SDK on iOS/Android.
Machine Learning/Agentic AI Intern
A paid 12-week PhD internship at Toyota Research Institute in Cambridge, MA (hybrid, in-office), undertaking a scoped research project in agentic AI applied to areas like robotics, vehicle design, factory logistics, or numerical optimization, working toward publication with TRI researchers; requires RL fine-tuning of foundation models.
Data-Driven Process Control Engineer (AI/ML, SQL)
Data/AI-focused software engineer in Singapore improving wafer manufacturing performance and cost efficiency: designing data pipelines, run-to-run control workflows, and deploying AI/ML models for production, in collaboration with Process Engineering and IT. Core stack is Python, SQL, and DevOps.
Machine Learning Engineer, Strategic Data Solutions
Machine learning engineer on Apple's Strategic Data Solutions Fulfillment Operations team in Singapore, building and deploying ML and optimization solutions for Apple's global supply chain — data pipelines, distributed systems, real-time/batch decisioning, and reporting. Key tools: Python, SQL, and ML techniques.
ML Engineer, Strategic Data Solutions (Fulfillment Ops)
Machine Learning Engineer at Apple's Fulfillment Operations in Singapore, building data pipelines and distributed systems to power real-time and batch decisioning that improves efficiency and security across the global supply chain.
Data/ML Engineer — Fusion Time-Series Pipelines & Labelling
At Fusionality, a Lausanne-based startup building the measurement, simulation, and control stack for fusion energy reactors, this Data/ML Engineer turns large messy experimental time-series data into clean labeled datasets and develops ML-assisted labelling and event detection while owning data quality with physicists and control engineers.
AI/ML Security Engineer: Protect AI Systems & Data
Placements24 is hiring an AI/ML Security Engineer in Randburg to defend AI systems: identifying vulnerabilities, performing security assessments and threat modeling, planning incident response, and building secure architectures that protect AI pipelines, models, and data in collaboration with data scientists.
Machine Learning Engineer
Machine Learning/Data Engineer at AllCloud delivering AI/ML projects for clients on AWS: building data pipelines and data lakes, deploying ML models (Jupyter, AWS AI/ML services), and optimizing cloud databases. Requires 3+ years in a data/ML role with Python, SQL, Spark, and AWS services.
PhD Machine Learning Engineer, Intern
Summer 2027 PhD machine learning engineering internship at Stripe (San Francisco, NYC, Seattle) within Applied ML, Data Science, Risk, and Payments. Interns design, train, and deploy production-scale ML systems — e.g., fraud detection, Stripe Assistant, and the Stripe Foundation Model — using Python, Scala, Spark, and common ML libraries.
Master's Machine Learning Engineer, Intern
A summer 2027 Master's-level machine learning internship at Stripe (SF, NYC, or Seattle), where interns design, train, and deploy production-scale ML systems across Applied ML, Risk, and Payments — including fraud detection, the Stripe Assistant, and the Stripe Foundation Model. Core technologies include Python, Scala, Spark, Pandas, NumPy, and Scikit-learn.
Engenheiro de Machine Learning
Machine Learning Engineer working on-site in Curitiba for LUZA Group, building ML solutions for Grupo Senff: developing, training, and deploying predictive models, data pipelines, and MLOps practices (versioning, monitoring, retraining) using Python, Scikit-learn/Pandas/NumPy, SQL, Docker, Git/CI-CD, and REST APIs.
Lead Research Scientist - Machine Learning
Lead a team to design and implement advanced AI/ML algorithms for national security applications, focusing on signals exploitation and predictive analytics using deep learning and statistical methods.
Senior Machine Learning Engineer
Senior ML engineer on Samsara's Safety AI team building the cloud-side ML backend for AI dash cameras: serving low-latency ML APIs, petabyte-scale data pipelines, model evaluation/monitoring, and edge-to-cloud optimization using languages like Python, Go, or C++ with tools such as PyTorch, Ray, and MLflow. Remote within the US or Canada.
Staff Machine Learning Engineer, Compliance Automation (Platform)
Staff ML engineer on Coinbase's Compliance Automation team building production Agentic AI (LLM-powered agents, orchestration pipelines, evaluation frameworks) that automate compliance workflows like investigations and decision support. Core stack: Python, LLM/RAG tooling, LangChain, Airflow, Spark. Remote-first USA role with quarterly in-person surges.
Senior Machine Learning Engineer, CX
Senior ML Engineer on Coinbase's CX Intelligence Engineering team designs and builds AI-powered customer support systems: multi-agent LLM frameworks, chatbots, agent assist, and copilot tools that scale to millions of interactions. Core stack: Python, LLMs, LangGraph, Vertex AI/AWS Bedrock.
Lead Machine Learning Engineer - ML Infrastructure
Lead the architecture and evolution of Samsara's end-to-end ML platform, spanning training, experimentation, inference, and edge deployment across 2M+ devices, driving safety outcomes for industries like transportation and manufacturing.