Senior Software Engineer, AI / ML Platform and Infrastructure

Key Skills

Aartificial intelligence, Analytical and Problem solving, Apache Cassandra, Apache Hive, AWS, Azure, C Programming, C++, Database, DevOps, DynamoDB, Effective communication skills, Google Cloud Platform (GCP), Machine learning techniques, MySQL, PostgreSQL, SPARK Programming, SQL

Job Description

As a senior software engineer for our AI / ML Platform, you will play a key role in shaping the future of our AI-enabled operations, service, and products. Your work will be at the forefront of designing, building, and operating infrastructure, platform, and applications for machine learning and AI. This role will research and develop full-stack software solutions for a variety of use cases aimed at AI / ML infrastructure, with a possibility of including some ML and DL modeling for those who are interested!

In this Role, you will:

• Build and contribute to tools that help discover data, move it around, and derive insights from it
• Contribute to design and development of data infrastructure that can scale to support our exponentially increasing data needs

Requirements

• Bachelor's degree or higher in Computer Science, Software Engineering, or a related field, or equivalent experience with 5 years of software development experience.
• Demonstrated ability to work in Python, with a strong preference for those with experience using a systems language (e.g. C or C++)
• Experience working with multi-modal image data, especially medical or geospatial images
• Experience in working with database platforms such as PostgreSQL, MySQL, DynamoDB, and/or Cassandra.
• Understanding of software development principles and experience across the stack (infrastructure, platform, back-end, web front-end).
• Problem-solving skills and the ability to work on complex projects with cross-functional teams

Preferred

• Experience working with at least one cloud provider
• Amazon Web Services (AWS), Google Cloud Platform (GCP), or Microsoft Azure.
• Familiarity with AI/ML libraries and frameworks.
• Familiarity with DevOps tools and practices, such as CI/CD and Infrastructure-as-Code.
• Experience working with data storage and distributed processing technologies, such as Hive, Spark, Trino, Flink or SQL databases.
• Strong communication skills and the ability to learn quickly within a collaborative environment.

What We Offer

• Fast paced and collaborative work culture in which you can gain experience, grow your technical skills and work on a wide variety of challenges over your time with us
• Competitive pay, equity and benefits.
• Agile organization where being senior translates to being a mentor and role model for others. We lead by example.
• Technical challenges on the leading edge of innovation where software and machine learning
• VideaHealth is supported by some of the best investors in the world, having raised over $27M in Venture Capital from Tier 1 investors such as Spark Capital (Twitter, SnapChat, SmileDirectClub), Zetta Venture (Kaggle), and Pillar VC (PillPack), as well as angel investors such as Frederic Kerrest (Co-founder of Okta). Our work has been featured in TechCrunch, Wall Street Journal, and many other outlets.

If you want to join a breakthrough healthtech company and help accelerate its impact and growth, we encourage you to apply for this exciting opportunity!

Pay Range: $85,000 - $200,000