Our team is partnering with a cutting-edge medtech company in Los Angeles to fill a key role on their AI and machine learning team.
They are seeking a highly skilled Senior Machine Learning Engineer with expertise in generative AI and computer vision to lead the development and deployment of advanced models for medical imaging solutions.
In this role, you will design end-to-end machine learning pipelines, optimize models for clinical standards, and collaborate closely with cross-functional teams to ensure seamless integration into production environments.
Requirements of the Senior Machine Learning Engineer :
- BS in Computer Science, Engineering, or related field (Master's preferred).
- 8+ years in machine learning with a focus on deploying models in production; experience with foundation models like Stable Diffusion, SAM, DINO, and Vision Transformers.
- Strong proficiency in Python, C++, or Java, and familiarity with development best practices (version control, CI / CD, testing).
- Expertise in frameworks like TensorFlow, PyTorch, and OpenCV; experience deploying models at scale.
- Experience with MLflow, Kubeflow, or Apache Airflow.
- Skilled in computer vision algorithms (segmentation, detection, generation).
- Experience with AWS, GCP, or Azure, and containerization (Docker, Kubernetes).
- Skilled in large-scale dataset management, preprocessing, and augmentation.
- Strong collaboration skills, especially in fast-paced, cross-functional environments.
- Excellent analytical and problem-solving skills in computer vision and AI.
- Experience with tools like Prometheus, Grafana, or ELK Stack.
- Experience in healthcare or medical imaging is a plus.
Responsibilities for the Senior Machine Learning Engineer :
- Build and enhance generative AI and computer vision models for improved image analysis.
- Write scalable, maintainable, high-quality code for seamless integration of models into production environments.
- Design and maintain end-to-end machine learning pipelines, ensuring efficiency and scalability.
- Partner with R&D, product, and regulatory teams to align models with clinical and regulatory standards.
- Optimize and fine-tune models for performance, accuracy, and clinical standards.
- Work with software engineering teams to integrate ML models into broader platforms.
- Keep detailed documentation of processes and ensure adherence to regulatory requirements.
- Stay current with advancements in AI, applying innovations to improve company products.
Machine Learning Engineer
The Machine Learning Engineer will work across multiple research areas developing and maintaining custom applications and data pipelines featuring generative AI, natural language processing, LLMs, and other foundation models. The successful candidate will have a strong background in machine learning...
Research Engineer, Machine Learning
Our Machine Learning team is working on the latest in video diffusion, tracking, nerfs, gaussian splatting, and more. Train, implement, and deploy machine learning models that drive product innovation and solve complex real-world problems. Stay current with the latest research and advancements in th...
Principal Machine Learning Engineer, ML Training Platform
We’re looking for a Principal Machine Learning, ML Training Platform to join Snap Inc!. Design, implement, and scale critical machine learning components and services to support Snap's most strategic initiatives. Build a next-generation training framework that can support large-scale model training,...
Senior Product Manager, Machine Learning Frameworks
Drive strategy and roadmap development for machine learning stack tooling. Artificial Intelligence or Machine Learning (AI or ML). Our team works closely with creative engineers, designers, marketers, etc. AI/ML models or tooling development (Product Management or Engineering). ...
Software Engineer III, Machine Learning, Google Assistant
TensorFlow), artificial intelligence, deep learning and/or natural language processing. Proficiency in code and system health, diagnosis and resolution, and software test engineering. Google's software engineers develop the next-generation technologies that change how billions of users connect, expl...
Machine Learning Platform Engineer
You will be working to build and maintain the machine learning infrastructure which supports Pearl's machine learning efforts. Pearl is looking for a Machine Learning Platform Engineer with at least 5 years of industry experience. The ideal candidate is a practical full stack engineer with experienc...
Machine Learning Engineer, Global Payment Decision Science - USDS
Experienced in Machine Learning and Deep Learning algorithms. The team is also responsible for building data science and machine learning solutions to optimize our payment services leveraging large scale datasets and advanced algorithms. Apply cutting edge machine learning technologies in various pa...
Senior Machine Learning Engineer, Financial Crimes (Cash App)
Machine Learning and Engineering industry experience (full stack ML experience). We use Machine Learning and Generative AI as an important part of our toolkit. Our machine learning systems monitor and surface suspicious activity (money laundering, illegal activity and terms of service violations) fo...
Senior Architect - Machine Learning
As a Senior Architect, you’ll design and deliver innovative Machine Learning solutions as part of intelligent products on Amazon Web Services, Azure and Google Cloud using core cloud data science tools, ML Ops components, and other big data related technologies. Lead and mentor engineers and machine...
Machine Learning Engineer
Machine Learning, Robotics, Computer Vision, TensorFlow, PyTorch, Reinforcement Learning, Software Engineering, Deep Learning, Artificial Intelligence. Collaborate with teams to identify opportunities for applying machine learning techniques. Design, develop, and deploy machine learning models and a...