AI Job Radar

Machine Learning Engineer – Page 7

Machine Learning Engineer: Jobs, Skills und Lernpfad im AI Job Radar.

Machine Learning Engineer

This career path shows typical requirements, relevant skills, learning steps and current job examples.

  1. Understand role requirements
  2. Close skill gaps with courses and projects
  3. Check the application against a concrete job posting
80
Results
26
Companies
95.2
Average score
16
Remote

10 results on this page. 80 results in total. More results are available via pagination, company pages, skill pages and job detail pages.

SF OfficeUSAFullTimeashby2026-06-16

Why this is a real AI job: The role is explicitly focused on building and optimizing the infrastructure for deploying and scaling machine learning models, specifically for an AI-powered healthcare platform. The job description heavily emphasizes AI/ML technologies and their application…

ABOUT ABRIDGE Abridge was founded in 2018 with the mission of powering deeper understanding in healthcare. Our AI-powered platform was purpose-built for medical conversations, improving clinical documentation efficiencies while enabling clinicians to focus on what matters most—their patients. Our e…

Details Open source / apply

SF OfficeUSAFullTimeashby2026-06-16

Why this is a real AI job: The role is explicitly focused on building and scaling a GenAI platform for healthcare, with core responsibilities revolving around LLMs, agent orchestration, and evaluation. The job description heavily emphasizes AI/ML concepts and technologies.

ABOUT ABRIDGE Abridge was founded in 2018 with the mission of powering deeper understanding in healthcare. Our AI-powered platform was purpose-built for medical conversations, improving clinical documentation efficiencies while enabling clinicians to focus on what matters most—their patients. Our e…

Details Open source / apply

NYC OfficeUSAFullTimeashby2026-06-16

Why this is a real AI job: The role is explicitly focused on evaluating and improving AI-powered healthcare products, building data infrastructure for AI research, and conducting research on the impact of AI in clinical settings. The core responsibilities revolve around AI/ML models an…

ABOUT ABRIDGE Abridge was founded in 2018 with the mission of powering deeper understanding in healthcare. Our AI-powered platform was purpose-built for medical conversations, improving clinical documentation efficiencies while enabling clinicians to focus on what matters most—their patients. Our e…

Details Open source / apply

AI Engineer, Model Quality and Performance

Cerebras Systems · Headquarters/Sunnyvale Office

95/100
Headquarters/Sunnyvale OfficeUSAgreenhouse2026-06-16

Why this is a real AI job: The role is entirely focused on building AI-driven systems for model quality, performance evaluation, and automation. The core responsibilities revolve around AI agents, data analysis, and building tooling for ML models.

Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training…

Details Open source / apply

Applied Machine Learning Research Scientist

Cerebras Systems · Headquarters/Sunnyvale Office, Toronto Office

95/100
Headquarters/Sunnyvale Office, Toronto OfficeUSAgreenhouse2026-06-16

Why this is a real AI job: The role explicitly focuses on applying and improving machine learning techniques, specifically LLMs, for training, optimization, and deployment. The responsibilities are heavily centered around ML systems and pipelines.

Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training…

Details Open source / apply

Full Stack LLM Engineer

Cerebras Systems · Toronto Office

95/100
Toronto OfficeUSAgreenhouse2026-06-16

Why this is a real AI job: The role is explicitly focused on bringing up and optimizing large language models (LLMs) on specialized hardware. The responsibilities and required skills are heavily centered around AI/ML concepts and implementation.

Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training…

Details Open source / apply

Toronto OfficeUSAgreenhouse2026-06-16

Why this is a real AI job: The role is explicitly focused on LLM inference performance, model evaluation, and optimization on specialized hardware. The responsibilities and required skills are deeply rooted in AI/ML concepts and techniques.

Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training…

Details Open source / apply

India OfficeUSAgreenhouse2026-06-16

Why this is a real AI job: The role is explicitly focused on bringing up and optimizing ML frameworks and models on specialized hardware. The responsibilities directly involve core AI/ML tasks like model architecture translation, compiler optimizations, and performance tuning. The requ…

Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training…

Details Open source / apply

San FranciscoUSAFullTimeashby2026-06-16

Why this is a real AI job: The role is explicitly focused on building and optimizing infrastructure for large-scale LLM inference, a core AI task. The description heavily emphasizes AI/ML technologies and their application.

About Anyscale At Anyscale https://www.anyscale.com/, we're on a mission to democratize distributed computing and make it accessible to software developers of all skill levels. We’re commercializing Ray https://docs.ray.io/en/latest/, a popular open-source project that's creating an ecosystem of li…

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Applied Machine Learning Engineer

Fireworks AI · New York, San Mateo

95/100
New York, San MateoUSAgreenhouse2026-06-16

Why this is a real AI job: The role explicitly focuses on developing, fine-tuning, and operationalizing machine learning models, with a strong emphasis on generative AI and LLM inference. The responsibilities are heavily centered around AI/ML engineering tasks.

About Us: At Fireworks, we’re building the future of generative AI infrastructure. Our platform delivers the highest-quality models with the fastest and most scalable inference in the industry. We’ve been independently benchmarked as the leader in LLM inference speed and are driving cutting-edge in…

Details Open source / apply