Discover the latest machine learning engineer jobs from companies hiring across the globe. This page features opportunities for engineers who build, deploy, and optimize machine learning models that power intelligent applications and data-driven products.
Machine Learning Engineer, ASE Search Team
Apple
Washington, District of Columbia, US
full-time•
2w ago
Lead AI / ML Engineer (TS/SCI)
Praescient Analytics
Washington, District of Columbia, US
full-time•
2w ago
Senior Machine Learning Engineer - SAIL
Carnegie Mellon University Software Engineering Institute
As a Machine Learning Engineer on the Video Search team, within the Apple Services Engineering AI/ML organization, you will design and deploy large-scale ML systems that power search and discovery across Apple platforms.
You'll apply machine learning, natural language understanding, and generative AI to model user intent and deliver relevant, personalized results. Your work will involve building and optimizing cutting edge data processing, ML models, retrieval pipelines, and ranking systems that operate at global scale and under strict privacy standards.
This is a hands-on role where you will collaborate closely with cross-functional teams to bring advanced ML technologies into production-shaping how users discovery content they love in Apple TV app, cross Apple TV partners on Apple Platforms, also through Siri and Spotlight.
Experience in machine learning, NLP, IR, or more recently Large Language Model ( LLMs).
Strong programming skills in Python, Java and Go for building scalable ML systems.
Hands-on expertise in ML libraries such as PyTorch, JAX, TensorFlow for model training and deployment.
Ability to translate product goals into technical solutions, improving user experience.
Strong communication, collaboration, and analytical problem-solving skills.
In-depth knowledge of search and information retrieval fundamentals, including indexing and ranking. Experience with retrieval and ranking algorithms and building big data pipelines using Hadoop, Java, Scala, Spark and more.
Industrial experience in search, classification, recommendation systems, or related fields.
Familiarity with A/B testing and data-driven product development.
Passionate about creating products loved by customers at Apple.
Bachelor's degree or higher (or equivalent practical experience) in Computer Science, Machine Learning, Natural Language Processing, Artificial Intelligence, or a related field.
Experience with search or recommendation systems, and semantic retrieval or vector databases.
Expertise in transformer architectures, embeddings, and retrieval or ranking models.
Experience in applying or fine-tuning LLMs for understanding and generation tasks. Familiarity with prompt design, context management, RAG and Agentic architectures and solutions.
Exposure to evaluation and safety frameworks for LLM-based systems.
Knowledge of reinforcement learning and other modern post training practices for LLMs.
Passion for developing intelligent, human-centered experiences to enhance content discovery.
Insights drawn from the latest openings on this page so you can compare employers, locations, and pay before applying.
Top Companies Hiring
Apple1 role
Praescient Analytics1 role
Carnegie Mellon University Software Engineering Institute1 role
Sev1Tech LLC1 role
Thomson Reuters1 role
Booz Allen Hamilton1 role
Top Locations
Virginia, US4 roles
Maryland, US3 roles
District of Columbia, US2 roles
Remote1 role
10% of these openings can be done remotely.
Salary Range Overview
Across 10 listings, advertised pay ranges from USD 99k to USD 230k.
Typical band: USD 120k – 205k.
Figures reflect employer-disclosed salaries on current openings and may vary by location, experience, and company stage.
Employment Types
Full-Time9 roles
Part-Time1 role
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Here are some of the latest openings matching this category. Browse the full list above to filter by location, experience, and employment type.
#1Machine Learning Engineer, ASE Search Team
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As a Machine Learning Engineer on the Video Search team, within the Apple Services Engineering AI/ML organization, you will design and deploy large-scale ML systems that power search and discovery across Apple platforms. You'll apply machine learning, natural language understanding, and generative AI to model user inte…
Praescient AnalyticsWashington, District of Columbia, USFull-TimePosted Jun 16, 2026
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Carnegie Mellon University Software Engineering InstituteArlington, Virginia, USFull-Time
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Job Number: R0241401 AI/ML Engineer and Data Scientist The Opportunity: As a data scientist, you’re excited at the prospect of unlocking the secrets held by a data set, and you’re fascinated by the possibilities presented by IoT, machine learning, and artificial intelligence. In an increasingly connected world, massive…
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Discover the latest machine learning engineer jobs from companies hiring across the globe. This page features opportunities for engineers who build, deploy, and optimize machine learning models that power intelligent applications and data-driven products.
Machine Learning Engineers bridge the gap between data science research and production-ready systems. Employers are seeking professionals with strong skills in Python, TensorFlow, PyTorch, Scikit-learn, and MLOps tools. Experience with model training, feature engineering, hyperparameter tuning, model serving, and monitoring in production environments is highly valued.
These roles are available across industries including autonomous vehicles, natural language processing, recommendation systems, computer vision, healthcare AI, and financial technology. ML engineers frequently collaborate with data scientists, software engineers, and product teams to deliver scalable AI solutions.
Our curated listings include remote, hybrid, and onsite positions across North America, Europe, Asia-Pacific, and global AI hubs. Many roles offer competitive compensation, research opportunities, and the chance to work on cutting-edge AI systems.
Each job posting includes detailed technical requirements, responsibilities, and application instructions to help you quickly find machine learning engineering roles that match your expertise.
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