Ai Engineer Jobs with Salary ≥ 200k

Summary: Candidates must have a minimum of 6 years of experience in AI/ML development or related fields, along with strong programming skills in languages such as Python, R, or Java. A bachelor's degree in a relevant field is preferred, and familiarity with railroad operations is a plus.

Skills: python, r, java, machine learning, deep learning, data engineering, cloud services, sql, nosql, mlops, generative ai, data pipelines, vector databases, analytical skills, problem-solving, communication

Summary: Seeking a Principal AI Engineer to build AI infrastructure and tools, champion AI adoption. Requires expertise in Python, TypeScript, and AI frameworks.

Skills: python,, typescript

Summary: Candidates must have over 5 years of experience building and scaling production ML systems with measurable business impact. A strong background in ranking algorithms and proficiency in Python and ML frameworks is essential.

Skills: machine learning, recommendation systems, ranking algorithms, python, tensorflow, pytorch, sql, data warehouses, data lakes, distributed computing, a/b testing, feature engineering, data pipelines, real-time personalization, statistical testing, model monitoring

Summary: Candidates must have 5+ years of software development and ML engineering experience, with 3+ years focused on advertising systems. Proven experience optimizing ad performance using mature models and emerging ML technologies is essential.

Skills: machine learning, advertising systems, optimization, recommendation systems, advertising algorithms, nlp, cv, python, sql, tensorflow, pytorch, distributed data processing, cloud infrastructure, analytical problem-solving, communication, teamwork, project management

Summary: Candidates must have 7+ years of software development and ML engineering experience, with at least 3 years focused on advertising systems. Proven experience in optimizing ad performance and expertise in ML areas such as recommendation systems and advertising algorithms is essential.

Skills: machine learning, advertising systems, optimization, recommendation systems, advertising algorithms, nlp, cv, python, sql, tensorflow, pytorch, distributed data processing, cloud infrastructure, analytical problem-solving, communication, project management

Summary: Candidates must have over 7 years of experience in building and scaling production ML systems with measurable business impact. A strong background in ranking algorithms and proficiency in Python and ML frameworks is essential.

Skills: machine learning, recommendation systems, python, tensorflow, pytorch, sql, data warehousing, distributed computing, a/b testing, ranking algorithms, feature engineering, data pipelines, real-time personalization, experimentation, data processing, collaboration, analytical thinking

Summary: Candidates must have over 7 years of experience building and scaling production ML systems with measurable business impact. A strong background in ranking algorithms and proficiency in Python and ML frameworks is essential.

Skills: machine learning, recommendation systems, ranking algorithms, python, tensorflow, pytorch, sql, data warehouses, data lakes, distributed computing, a/b testing, feature engineering, data pipelines, experimentation, real-time personalization, model reliability

Summary: Candidates must have 7+ years of experience building and scaling production ML systems with measurable business impact. A strong background in ranking algorithms and proficiency in Python and ML frameworks is essential.

Skills: machine learning, recommendation systems, ranking algorithms, python, tensorflow, pytorch, sql, data warehouses, data lakes, distributed computing, a/b testing, feature engineering, data pipelines, real-time personalization, statistical analysis, experimentation

Summary: Candidates must have 7+ years of experience building and scaling production ML systems with measurable business impact. A strong background in ranking algorithms and proficiency in Python and ML frameworks is essential.

Skills: machine learning, recommendation systems, ranking algorithms, python, tensorflow, pytorch, sql, data warehouses, data lakes, distributed computing, a/b testing, feature engineering, data pipelines, experimentation, real-time personalization, model reliability

Summary: Candidates must have over 7 years of experience in building and scaling production ML systems with measurable business impact. Proficiency in ranking algorithms and experience with large-scale ML systems serving over 100M predictions daily is essential.

Skills: machine learning, recommendation systems, ranking algorithms, python, tensorflow, pytorch, sql, data warehouses, data lakes, distributed computing, a/b testing, feature engineering, data pipelines, real-time personalization, statistical analysis, model monitoring

Summary: Candidates should have 5+ years of software engineering experience, with at least 2 years focused on AI systems and deep expertise in LLM implementation. A strong foundation in TypeScript and experience with modern AI frameworks and tools are also required.

Skills: ai systems, llm implementation, software engineering, typescript, document analysis, legal reasoning, ai development, technical leadership, mentoring, prototyping, integration, evaluation, structured reasoning, tool-use pipelines, problem solving, continuous learning

Summary: The position requires 7+ years of experience writing ML code for launched products and experience leading a small team of developers. Strong programming skills in Python and an understanding of the state of the art in generative AI are essential.

Skills: machine learning, generative ai, python, llms, data sets creation, backend api services, mentoring, cross-functional collaboration, ml models, pydantic ai, vector databases, microservices architectures, data pipelines, tensorflow, pytorch, sql

Summary: Candidates should have 7+ years of experience writing ML code for launched products and experience leading a small team of developers. A strong understanding of generative AI and experience with LLMs is essential.

Skills: machine learning, generative ai, python, llms, data engineering, api services, mentoring, prototyping, backend development, microservices, distributed systems, tensorflow, pytorch, scikit-learn, sql, data pipelines

Summary: The position requires 7+ years of experience writing ML code for launched products and experience leading a small team of developers. A strong understanding of generative AI and programming skills in Python are essential.

Skills: machine learning, ai features, generative ai, python, team leadership, backend api services, ml models, data sets creation, pydantic ai, vector databases, nodejs, java, kotlin, tensorflow, pytorch, scikit-learn, sql

Summary: The position requires 7+ years of experience writing ML code for launched products and experience leading a small team of developers. A strong understanding of generative AI and proficiency in Python are essential.

Skills: machine learning, ai development, python, generative ai, backend api services, ml models, data sets creation, team leadership, agile methodologies, cross-functional collaboration, prototyping, mentoring, microservices, data pipelines, tensorflow, pytorch

Summary: Candidates should have over 5 years of full-stack development experience, including 2 years with AI/ML technologies in production. Strong skills in frontend and backend development, API design, and familiarity with cloud technologies are essential.

Skills: full stack development, ai/ml technologies, typescript, javascript, react, go, python, api design, service architecture, cloud technologies, database systems, data processing pipelines, containerization, orchestration technologies, monitoring, versioning, observability

Summary: Candidates should have 3+ years of experience in machine learning, deep learning, or applied AI, along with strong Python skills. Familiarity with big data tools and cloud environments is also preferred.

Skills: machine learning, deep learning, python, tensorflow, pytorch, jax, mlops, cloud environments, docker, kubernetes, big data, feature engineering, ai strategy, data pipelines, real-time processing, batch processing

Summary: Build and scale medical claims auditing infrastructure using distributed systems, data pipelines, and APIs. Requires experience in React, Node.js, and SQL.

Skills: react, node.js, sql

Summary: Lead the design and build of AI solutions in healthcare. Requires full stack experience, proficiency in LLM APIs, and knowledge of ML models.

Skills: typescript

Summary: Candidates should have 7+ years of full-time experience in AI/ML or full stack software engineering, particularly with data-intensive systems. A strong background in software engineering, AI/ML/NLP en

Skills: ai/ml development, data pipelining, system intelligence, security & compliance, operations, python, sql, postgresql, dbt, bigquery, nlp, llm, pytorch, cloud platforms, linux, bash scripting, web services