๐๐ผ๐บ๐ฝ๐ฎ๐ป๐ ๐ข๐๐ฒ๐ฟ๐๐ถ๐ฒ๐:
Founded in 2017 in Irvine, California, Voyance is a Healthtech startup with a single vision: "Better Health for All ๐." We enhance the quality and accessibility of care through innovative technology. Our FDA-approved algorithms and advanced software are trusted by over 5,000 healthcare facilities globally, including 3,000+ in the U.S., serving clients from major organizations to small clinics.
๐๐ผ๐ฏ ๐๐ฒ๐๐ฐ๐ฟ๐ถ๐ฝ๐๐ถ๐ผ๐ป:
Voyance is establishing its elite R&D team in Silicon Valley, seeking passionate and driven Machine Learning Engineersโat both senior and junior levelsโto join our Intelligence team. This is a unique opportunity to develop AI for pioneering ๐ฏ๐ ๐ซ-๐ฟ๐ฎ๐ technology, a project that marks a significant leap in medical imaging. This state-of-the-art technology will deliver unprecedented precision and clarity, greatly enhancing early detection of lung cancer and more. At Voyance, youโll work on both collaborative and independent projects, leveraging AI to redefine the future of medicine.
Responsibilities
- Conduct research and stay updated on the latest advancements in computer vision and Vision AI technologies. Apply this knowledge to develop innovative solutions.
- Architect scalable and efficient computer vision systems that can handle large volumes of data and meet performance requirements.
- Collaborate with cross-functional teams to deploy and monitor machine learning models.
- Collaborate with software engineers, and domain experts to understand requirements and translate them into technical solutions.
- Continuously explore new MLOps and cloud tools to enhance our ML development and deployment pipeline.
Qualifications
- Bachelorโs degree in Computer Science, Engineering, or a related field.
- 1-3 years of experience in Machine Learning (for Juniors).
- 4-7 years of experience in Machine Learning (for Seniors).
- Masterโs degree counts as 2 years of experience; a PhD counts as 5.
- Deep knowledge of math, probability, statistics and Algorithms.
- Strong experience in Python with also experience in using data science libraries like NumPy and pandas.
- Knowledge of Linux, bash, and container technologies (e.g., Docker).
- Hands-on experience in end-to-end machine learning development (design, training, evaluation, deployment).
- Strong software engineering skills, including writing efficient, readable, and well-documented code.
- Self-starter with excellent communication skills, thriving in fast-paced, dynamic environments.
๐ฃ๐ฟ๐ฒ๐ณ๐ฒ๐ฟ๐ฎ๐ฏ๐น๐ฒ:
- Experience in image processing and using one or more open-source image libraries, such as OpenCV.
- Experience with REST APIs, gRPC, and cloud platforms (AWS, Azure, or GCP).
- Familiarity with model serialization and optimization (e.g., ONNX, OVMS, TensorRT).
- Experience with MLOPs.
- Experience with high-performance computing (vectorization, multi-threading).
- Experience in Working with Medical Imaging.
๐๐ฒ๐ป๐ฒ๐ณ๐ถ๐๐:
- Flexible Work Hours.
- Hybrid Work Environment.
- Company Stocks.
- Career Development Opportunities
- Vibrant Culture: Enjoy a friendly, fun environment with team outings and complimentary snacks & drinks.
๐๐ผ๐ถ๐ป ๐จ๐:
If you believe in making quality healthcare accessible to everyone, and you perfectly blend talent with hard work, please apply.
