Software Engineer, AI / ML Platform and Infrastructure
Boston
Full Time Mid-level / Intermediate USD 85K - 200K
VideaHealth
Elevate dental patient care across all your providers. VideaHealth is the AI platform trusted by dentists and hygienists to consistently deliver better patient care.VideaHealth is a cutting-edge AI-powered solution for dentistry, developed by a team of seasoned leaders, engineers, AI scientists, and clinicians spun out of MIT. Our vision is to be the first company to diagnose a billion people globally. Our product is already used by thousands of dental clinicians to improve the quality of care through faster diagnoses, increase operating efficiencies, and improved patient understanding. About the position:
As a 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
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
Tags: Agile AWS Azure Cassandra CI/CD Computer Science DevOps DynamoDB Engineering Flink GCP Google Cloud Machine Learning ML infrastructure MySQL PostgreSQL Python Research Spark SQL
Perks/benefits: Career development Competitive pay Health care
More jobs like this
Explore more AI, ML, Data Science career opportunities
Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
- Open Marketing Data Analyst jobs
- Open Lead Data Analyst jobs
- Open MLOps Engineer jobs
- Open Senior Business Intelligence Analyst jobs
- Open Data Engineer II jobs
- Open Principal Data Engineer jobs
- Open Data Manager jobs
- Open Power BI Developer jobs
- Open Data Scientist II jobs
- Open Sr Data Engineer jobs
- Open Business Data Analyst jobs
- Open Junior Data Scientist jobs
- Open Data Analytics Engineer jobs
- Open Product Data Analyst jobs
- Open Business Intelligence Developer jobs
- Open Data Analyst Intern jobs
- Open Sr. Data Scientist jobs
- Open Senior Data Architect jobs
- Open Big Data Engineer jobs
- Open Manager, Data Engineering jobs
- Open Principal Data Scientist jobs
- Open Azure Data Engineer jobs
- Open Data Quality Analyst jobs
- Open Junior Data Engineer jobs
- Open Research Scientist jobs
- Open Data quality-related jobs
- Open GCP-related jobs
- Open Java-related jobs
- Open Business Intelligence-related jobs
- Open ML models-related jobs
- Open Data management-related jobs
- Open Privacy-related jobs
- Open PhD-related jobs
- Open Deep Learning-related jobs
- Open Finance-related jobs
- Open Data visualization-related jobs
- Open PyTorch-related jobs
- Open APIs-related jobs
- Open TensorFlow-related jobs
- Open NLP-related jobs
- Open Consulting-related jobs
- Open Snowflake-related jobs
- Open LLMs-related jobs
- Open Generative AI-related jobs
- Open CI/CD-related jobs
- Open Kubernetes-related jobs
- Open Hadoop-related jobs
- Open Data governance-related jobs
- Open Airflow-related jobs
- Open Databricks-related jobs