Data Scientist

ABOUT SAIVA AI

SAIVA AI applies machine learning to make optimal use of electronic health data for the most vulnerable healthcare population. Our mission is to improve patient outcomes by augmenting clinical decision-making with the power of AI.

Based in Silicon Valley, our team is a group of passionate healthcare technology veterans, engineers, and data scientists leveraging cutting edge technology to predict patient risk and provide tools that drive timely intervention.

POSTITION DESCRIPTION

As a data scientist, you will use your innate analytical curiosity, interest in healthcare data and your programming experience to help develop new products, provide analytics and clinical outcomes reporting to our customers, and supply data-driven insights to our clinical teams.

At SAIVA, you will be working with leading machine learning and data science faculty from Stanford to bring power to the healthcare industry. Working with them may also open the door to advancing your education with a graduate-level degree.

RESPONSIBILITIES

• Work closely with ML researchers and engineers to deeply study client data and understand the patient trajectories the data describes
• Study SAIVA model performance, characterize errors, suggest improvements
• Create and communicate data visualizations of raw data, results, and model metrics
• Suggest new data sources, fields and featurizations to improve our models
• Discover customer engagement insights
• Make and effectively share impactful insights
• Work closely with researchers, engineers, designers, and management to rapidly build, iterate, test, and deploy new features and products and maintain a high-quality robust code base

REQUIREMENTS

• BS in Computer Science, Statistics or related technical field
• Passion for problem solving
• 1 year proven experience, including academic, in data analysis
• Experience building statistical data visualizations in Python (prefered) or R
• Experience analyzing supervised Machine Learning problem cases including validation and quality assurance of data, models and results
• Experience with SQL based relational databases
• Proficient in Linux/Unix command line, scripting and a text processing language
• Attention to detail and ability to work independently
• Excellent communication skills and ability to work well in a team

BONUS POINTS

• More advanced degree in a relevant technical field
• Familiarity with cloud-based infrastructure (AWS preferred)
• Documented data science work, preferably in a Machine Learning contex
• Active profile in Kaggle, GitHub, Stack Overflow or similar

SAIVA offers competitive compensation and benefits, including:

• Medical, Dental, Vision Insurance
• 401(k)
• Unlimited PTO
• Stock Options

Applicants must be currently authorized to work in the U.S. on a full-time basis.

SAIVA is an equal opportunity employer and is committed to diversity in its hiring and business practices.

Please send your resume and a short cover letter addressing our requirements and any other points you want to make to jobs@saivahc.com

Machine Learning Engineer

ABOUT SAIVA AI

SAIVA AI applies machine learning to make optimal use of electronic health data for the most vulnerable healthcare population. Our mission is to improve patient outcomes by augmenting clinical decision-making with the power of AI.

Based in Silicon Valley, our team is a group of passionate healthcare technology veterans, engineers, and data scientists leveraging cutting edge technology to predict patient risk and provide tools that drive timely intervention.

POSITION DESCRIPTION

As a Machine Learning Engineer at SAIVA AI, you will work with an exceptional team including data scientists and strong MLops engineers to design, prototype, engineer, test, deploy and maintain ML platforms and applications for real-world production use. As part of this team you will primarily lead rapid prototyping of new models and model features.

At SAIVA AI, you will also be working with and learning from leading machine learning and data science faculty from Stanford University. Working with them may also open the door to later advancing your education with a graduate-level degree.

RESPONSIBILITIES

• Design, code and test machine learning model prototypes
• Translate novel ideas and use new packages to make testable prototypes
• Improve the classification performance of existing machine learning models
• Collaborate with data scientists to perform error analysis and derive actionable insights into improving your prototypes
• Guide ML ops engineers in converting your prototypes into production models

REQUIREMENTS

• BS in Computer Science or related technical field
• 1.5 years of proven machine learning experience in academia or industry
• Strong class based understanding of the foundational concepts of machine learning
• Proven familiarity with one or more Machine Learning libraries and SQL
• Strong proficiency in Python (preferred), Java or C/C++
• Attention to detail and ability to work independently
• Excellent communication skills and ability to work well in a team
• Passion for problem solving

BONUS POINTS

• Masters degree in a relevant technical field
• Familiarity with cloud-based infrastructure (AWS preferred)
• Experience in niche machine learning area (Healthcare models, NLP, Recommender Systems, Explainability)
• Active profile in Kaggle, GitHub, Stack Overflow or similar

SAIVA offers competitive compensation and benefits, including:

• Medical, Dental, Vision Insurance
• 401(k)
• Unlimited PTO
• Stock Options

Applicants must be currently authorized to work in the U.S. on a full-time basis.

SAIVA AI is an equal opportunity employer and is committed to diversity in its hiring and business practices.

Please send your resume and a short cover letter addressing our requirements and any other points you want to make to  jobs@saivahc.com

Data Scientist

ABOUT SAIVA AI

SAIVA AI applies machine learning to make optimal use of electronic health data for the most vulnerable healthcare population. Our mission is to improve patient outcomes by augmenting clinical decision-making with the power of AI.

Based in Silicon Valley, our team is a group of passionate healthcare technology veterans, engineers, and data scientists, including from Stanford University, leveraging cutting edge technology to predict patient risk and provide tools that drive timely intervention.

POSITION DESCRIPTION

As a data scientist, you will use your innate analytical curiosity, interest in healthcare data and your programming experience to help develop new Machine Learning products and improve our existing ones, provide analytics and clinical outcomes reporting, and supply data-driven insights to our engineering and clinical teams.

Responsibilities

Data Science means different things in different places. In this position you will:

• Deeply understand sophisticated client data used as inputs to our different products, and effectively communicate your insights to our Machine Learning engineers
• Study SAIVA AI models composition and performance, characterize errors, and suggest improvements
• Create and communicate data visualizations of raw data, results, and model metrics
• Suggest new data sources, fields and featurizations to improve our models
• Discover customer engagement insights
• Make and effectively share impactful insights
• Work closely with researchers, engineers, designers, and management to rapidly build, iterate, test, and deploy new features and products and maintain a high-quality robust code base

Requirements

• BS in Computer Science, Data Science, Statistics, Econometrics, Physics or Applied Mathematics
• Passion for problem solving
• 1-3 years industry experience in data analysis
• Experience building statistical data visualizations in Python (preferred) or R
• Experience analyzing supervised Machine Learning problem cases including validation and quality assurance of data, models and results
• Experience with SQL based relational databases
• Proficient in Linux/Unix command line, scripting and a text processing language
• Attention to detail and ability to work independently
• Excellent communication skills and ability to work well in a team

Bonus Points

• More advanced degree in the same fields listed above
• Familiarity with cloud-based infrastructure (AWS preferred) and version control
• Documented data science work, preferably in a Machine Learning context
• Active profile in Kaggle, GitHub, Stack Overflow or similar

SAIVA AI offers competitive compensation and benefits, including:

• Medical, Dental, Vision Insurance
• 401(k)
• PTO
• Stock Options

Applicants must be currently authorized to work in the U.S. on a full-time basis.

SAIVA AI is an equal opportunity employer and is committed to diversity in its hiring and business practices.

Senior ML Ops Engineer

ABOUT SAIVA AI

SAIVA AI applies machine learning to make optimal use of electronic health data for the most vulnerable healthcare population. Our mission is to improve patient outcomes by augmenting clinical decision-making with the power of AI.

Based in Silicon Valley, our team is a group of passionate healthcare technology veterans, engineers, and data scientists leveraging cutting edge technology to predict patient risk and provide tools that drive timely intervention.

RESPONSIBILITIES

• Collaborate with data scientists to understand the use case and design a deployment system that best suits their machine learning models.
• Working closely with the platform and Data Ops teams to establish continuous integration and continuous deployment (CI/CD) processes for the data science and machine learning team.
• Consider cost optimization and implementing automation techniques to minimize expenses where applicable.
• Provide training and mentorship to data scientists on deployment best practices and model training techniques.
• Develop and maintain automated ML pipelines for efficient model training, testing, and deployment.
• Collaborate with software engineers and DevOps teams to ensure seamless integration of ML models into production systems.
• Simplifying feature engineering processes, ensuring data consistency during model training, and serving through integrated feature stores.
• Scale and deploy infrastructure to support both batch and real-time inference scenarios.
• Identify, document, automate, and engineer processes for repeated tasks.
• You will participate in the engineering Scrum ceremonies and take the initiative in developing ML/Ops product architecture.

REQUIREMENTS

• 6+ years of industry experience, including software development in Machine Learning, Deep Learning, ML infrastructure, and working with large data sets and systems
• Proficiency in cloud AWS computing platforms, focusing on deploying and managing machine learning and deep learning models.
• Ability to navigate and discuss various options for CI/CD, experimentation, and model training on AWS cloud infrastructure.
• Sound understanding of end-to-end deployed machine learning services and pipelines, including testing, monitoring, and addressing challenges like model drift and coverage.
• Familiarity with version control systems like Git to effectively manage code repositories and collaborate with team members.
• Experience working with AWS cloud computing services, leveraging their capabilities for efficient machine learning deployments.
• Proficiency in Python, SQL  programming languages
• Proficiency in Restful API development, specifically with frameworks like FastAPI.
• Familiarity with containerization technologies, including Docker and Kubernetes, to facilitate easy deployment and management of ML applications.
• Ability to implement Terraform pipelines and prior experience working with infrastructure-as-code tools.
• Experience in scaling and deploying recommendation systems, ensuring their efficient operation and performance.
• These qualifications will enable you to contribute effectively to designing, deploying, and scaling machine learning solutions, leveraging the power of cloud platforms, automation, and best practices in ML/Ops engineering.
• Excellent oral and written English communication skills.

DAILY RESPONSIBILITIES

• 90% Hands On
• 10% Team Collaboration

BENEFITS & MORE

SAIVA offers competitive compensation and benefits, including:

• Medical, Dental, Vision Insurance
• 401(k)
• Unlimited PTO
• Stock Options

SAIVA AI is an equal opportunity employer and is committed to diversity in its hiring and business practices.

Please send your resume and a short cover letter addressing our requirements and any other points you want to make to  jobs@saivahc.com

Senior Platform Engineer

ABOUT SAIVA AI

SAIVA AI applies machine learning to make optimal use of electronic health data for the most vulnerable healthcare population. Our mission is to improve patient outcomes by augmenting clinical decision-making with the power of AI.

Based in Silicon Valley, our team is a group of passionate healthcare technology veterans, engineers, and data scientists leveraging cutting edge technology to predict patient risk and provide tools that drive timely intervention.

RESPONSIBILITIES

• Your responsibilities will involve the design, construction, and upkeep of a Python-based platform that is highly scalable and utilizes microservices. 
• You will be collaborating with distributed team members, which  will be necessary to continually refine the application’s design and implementation. 
• You will design, develop, and test APIs for mobile and web applications by understanding technical specification docs & communicating with the stakeholders.
• Throughout the project timeline, you will be assigned to deliver important milestones and facilitate deployments. 
• You will be working closely. Product and Design teams will be required to develop innovative features that address business challenges and meet organizational requirements. 
• Your participation in code reviews will also be expected to ensure the creation of reliable and sustainable code.
• You will participate in the engineering Scrum ceremonies and take the initiative in developing product architecture.

REQUIREMENTS

• Extensive industry experience of 5+ years specializing in the construction of large-scale backend systems.
• Proficiency in Python with a professional background of 3+ years.
• Strong understanding of back-end platforms, encompassing Web Servers, RESTful and GraphQL APIs, message/queue solutions, serverless architectures, event-driven models, relational database designs, caching platforms, NoSQL approaches, and cloud auto-scaling options.
• Expertise in web server development utilizing frameworks such as FastAPI, Flask, and others.
• Solid understanding of both Object-Oriented and Functional programming paradigms, along with a firm grasp of best practices and testing methodologies.
• Hands-on experience with SQL, particularly PostgreSQL, and relational databases.
• Proficient in engineering scalable solutions using big-data streaming and event-based architectures.
• Expertise with the AWS ecosystem, including containers, Kubernetes, and CI/CD practices.
• Enthusiastic about acquiring knowledge of new technologies and frameworks.
• Effective communication and collaboration skills, both within and outside the team, with the ability to confidently advocate for your ideas while remaining receptive to feedback and admitting mistakes when necessary.
• Previous experience working with agile methodologies.

DAILY RESPONSIBILITIES

• 90% Hands On
• 10% Team Collaboration

BENEFITS & MORE

SAIVA offers competitive compensation and benefits, including:

• Medical, Dental, Vision Insurance
• 401(k)
• Unlimited PTO
• Stock Options

SAIVA AI is an equal opportunity employer and is committed to diversity in its hiring and business practices.

Please send your resume and a short cover letter addressing our requirements and any other points you want to make to  jobs@saivahc.com