Build, operate, and improve production ML/AI services by combining Python software engineering, container orchestration, CI/CD, and model lifecycle practices to deliver secure, reliable, and maintainable solutions.
Remote Mid-level Machine Learning Engineer Jobs
Search 54 active remote mid-level machine learning engineer jobs. No recruiters, no spam - just real jobs from real companies.
54 total jobs
13 new jobs this week
Member of Technical Staff - Post-Training (Reinforcement Learning & Generalization)
Train large language models with reinforcement learning, develop methods for out-of-distribution generalization, and build evaluations and production training recipes that reveal whether models learn robustly.
Data Science ML/GenAI Engineer (FRE/ ENG)
Develops and productionizes machine learning and GenAI solutions, improving data pipelines and existing code while collaborating across data and application teams to deliver reliable, scalable capabilities.
Machine Learning Engineer (Semi-Senior / Senior)
Join as a Machine Learning Engineer to develop and optimize predictive models for user behavior and ad market dynamics in a cutting-edge ad-tech startup.
Own large-scale model inference systems by integrating architectures, scaling deployments across clusters and hardware providers, and optimizing GPU utilization, scheduling, and service reliability against SLOs.
Machine Learning Engineer (L3)
As a Machine Learning Engineer, you will develop AI/ML capabilities to enhance customer engagement experiences, ensuring seamless interactions across applications and channels.
Build and scale machine learning infrastructure, models, and AI platforms, with a focus on voice and speech use cases, enabling product teams to deliver reliable, customer-facing AI features.
Machine Learning Engineer II - Learned Planning (Reinforcement Learning)
As a Machine Learning Engineer II, you will develop and deploy behavior models for autonomous trucks, enhancing decision-making through advanced machine learning techniques.
Machine Learning Engineer - Multiple Positions
As a Machine Learning Engineer at SurveyMonkey, you'll develop and maintain end-to-end ML solutions, architect scalable platforms, and drive innovation in AI technologies.
Build and evaluate machine learning verification systems by translating research into rigorous experiments, production infrastructure, and user-facing product workflows across models, backend services, and interfaces.
Develop and productionize computer vision and visual language models, building data workflows and translating experiments into reliable capabilities for intelligence and public safety applications.
Lead and develop a team of Machine Learning Engineers to build and manage platforms that enable secure training, deployment, and monitoring of machine learning models at scale.
Machine Learning Engineer II - Behavioral Security Products
As a Machine Learning Engineer II, you will develop and implement machine learning models to enhance account takeover detection and protect customers from cyber threats.
Full-Stack Software Engineer, Machine Learning Platform
As a Full-Stack Software Engineer, you will develop advanced data introspection tools to enhance the efficiency and safety of autonomous vehicle systems.
Collaborate with researchers to run and evaluate experiments, characterize neural network performance and failure modes, communicate results, and recommend improvements to research processes and future iterations.
Characterize neural network performance and failure modes, coordinate research experiments, analyze results, and communicate findings through technical reports while helping improve future research iterations.
Deploy and optimize frontier AI models for real-time production use, owning the path from research checkpoints to reliable serving systems and improving latency, throughput, and cost at scale.
Machine Learning Engineer II, Responsible AI
Develop and deploy responsible AI and machine learning solutions that identify and mitigate bias across Pinterest, partnering across engineering teams to advance fairness and shape technical strategy.
Research Engineer, Machine Learning Systems
Deepgram seeks a skilled Machine Learning Engineer to join the Research team, focusing on scalable model training and developing tools for speech technologies.
As a Machine Learning Engineer, you will develop and implement deep learning models and machine learning solutions, driving innovation in computer vision technology for waste sortation.
As a Machine Learning Engineer, you will design, develop, and deploy AI and ML models, ensuring their efficiency and integration into organizational goals.
Design, build, and productionize machine learning and Generative AI solutions, including LLM and RAG applications, while owning end-to-end pipelines, model evaluation, deployment, and monitoring.
Machine Learning Engineer, II - 3D Perception
As a Machine Learning Engineer II – 3D Perception, you'll advance perception capabilities by developing and improving machine learning solutions for autonomous trucks.
Machine Learning Engineer II (Underwriting ML)
Build and productionize underwriting machine learning models that assess transaction repayment risk and expected value, while developing feature pipelines and monitoring model performance in real-time decision systems.
