Machine Learning Engineer

Job Opportunities Below are summaries of current machine learning engineering roles: Senior Machine Learning Engineer – Developing production machine learning systems and collaborating on AI agent tools. Leads engineering efforts to shape low‑latency ML solutions while mentoring a data team. Software Engineer (MLOps) – Responsible for MLOps technology, focusing on the software development lifecycle and system designs.

Collaborates with functional teams to translate user requirements into technical specifications. AI / Machine Learning Engineer – Developing and deploying ML and generative AI capabilities into applications remotely, working closely with product and data teams. Senior Machine Learning Engineer – CVS Health – Delivers AI‑powered platforms, responsible for solution design and engineering practices in a collaborative environment.

Senior Machine Learning Engineer – Builds real‑time AI to detect disinformation. Owns production ML from model to deployment, collaborating with engineers and analysts. Recommendation Systems Engineer – Owns and operates recommendation systems for a high‑scale B2B marketing platform, enhancing consumer data processing with direct revenue impact.

Lead Machine Learning Engineer – Root – Enhances customer lifetime value modeling systems using machine learning, collaborating with data scientists and business teams to optimize ML systems for insurance solutions. Machine Learning Scientist – Amgen – Developing and applying computational protein design solutions, collaborating with scientists to implement machine learning in therapeutic biomolecules. Computer Vision & Machine Learning Engineer – Data Meaning – Works on AI‑driven video analytics initiatives in retail environments, focusing on operational efficiency, safety monitoring, and real‑time detection systems.

Senior ML Engineer – International Client – Guides ML pipelines and model serving infrastructure, requiring strong data engineering foundation and hands‑on MLOps experience. AI/ML Architect – 3Pillar – Sets the technical direction for scalable AI solutions across multiple domains, evaluating technologies and aligning AI initiatives with business goals. Principal Machine Learning Engineer – Airbnb – Fine‑tunes large language models and optimizes them, collaborating with cross‑functional teams in AI product development.

Principal Machine Learning Engineer – Toast – Designs ML models and backend services, building internal tools leveraging AI to enhance sales processes for restaurants. Senior Machine Learning Engineer – SandboxAQ – Develops AI solutions utilizing the ML lifecycle and LQMs, collaborating with diverse teams to build and evaluate cutting‑edge AI products. Senior ML / MLOps Engineer – CDW – Develops scalable machine learning solutions on the Databricks platform, ensuring reliable, governed ML workflows in a remote setting.

Principal Machine Learning Engineer – Acclaim – Develops and improves TTS and voice generation models, collaborating across research, engineering, and product to drive technical direction and ML best practices. Senior Machine Learning Engineer – Enterprise Clients – Designs and leads implementation of ML and LLM systems in production, focusing on architecting scalable AI solutions and mentoring teams. Studio Domain ML Engineer – Paramount – Develops applied machine learning technologies for entertainment production environments, ensuring new technologies meet professional production standards and usability. #J-18808-Ljbffr