Algorithms, Artificial Intelligence (AI), Best Practices, Cloud Computing, Code Reviews, Continuous Improvement, Cross-Functional, Data Analysis, Funding, Healthcare, Leading Edge Technology, Machine Learning, Machining Operations, Modeling Languages, Performance Management, Performance Modeling, Process Development, Production Systems, Python Programming/Scripting Language, Scalable System Development, Software Engineering
San Francisco, California
Machine Learning Engineer
- Title of Role: Machine Learning Engineer
- Location: San Francisco, onsite
- Company Stage of Funding: Venture Round — Healthcare, AI
- Office Type: Onsite
- Salary: $200K–$250K
Company Description
We're representing a dynamic and innovative company in the healthcare AI sector that is on a mission to transform healthcare operations through advanced machine learning. This organization is leveraging cutting-edge technology to create medical language models that automate and streamline processes, making a significant impact in the industry. With a growing team and a commitment to excellence, they are poised for rapid growth and are looking for talented individuals to join their journey.
What You Will Do
- Develop and optimize machine learning models using Python, PyTorch, and TensorFlow to enhance healthcare operations.
- Collaborate with cross-functional teams to integrate machine learning solutions into existing workflows and systems.
- Conduct experiments and analyze data to improve model performance and accuracy.
- Implement best practices in machine learning and software engineering to ensure high-quality deliverables.
- Participate in code reviews and contribute to a culture of continuous improvement and innovation.
Ideal Candidate Background
- 3+ years of experience in machine learning engineering or a related field.
- Proficient in Python and experienced with frameworks such as PyTorch and TensorFlow.
- Strong understanding of machine learning algorithms and their applications in real-world scenarios.
- Experience in developing and deploying scalable machine learning models.
Preferred
- Familiarity with healthcare data and understanding of industry-specific challenges.
- Experience with cloud platforms and deployment of machine learning solutions in production environments.
- Knowledge of data preprocessing and feature engineering techniques.
Compensation and Benefits
The salary for this role ranges from $200K to $250K, complemented by equity options between 0.2% and 0.5%. This company offers a unique opportunity to be part of a transformative journey in healthcare, with a focus on innovation and professional growth.