Computer Vision/ Machine Learning Engineer

$187,200 - $208,000/Yr

INSPYR Solutions - San Francisco, CA

Full-time - Mid Level

Remote - San Francisco, CA

Administrative and Support Services

About the position

The Computer Vision/Machine Learning Engineer will play a crucial role in driving and enabling machine learning applications across various domains. This position involves working collaboratively with Applied Machine Learning Engineers and Data Scientists to manage the entire ML lifecycle, from data exploration and prototyping to production deployment and maintenance. The engineer will also focus on building and extending core infrastructure components to enhance application workflows, ensuring high system availability and reliability.

Responsibilities

• Collaborate with machine learning practitioners to understand feature and data requirements
• Work with Engineering teams to collect required data from internal and external systems
• Develop and maintain production-grade batch and streaming pipelines
• Setup orchestration and automation of ETL jobs using tools such as Airflow and Jenkins
• Improve and extend existing data infrastructure services
• Conduct data exploration, analysis and provide data strategy consultancy
• Drive and maintain a culture of quality, innovation and experimentation
• Work in an Agile environment that focuses on collaboration and teamwork
• Mentor colleagues on best practices and technical concepts of building large scale solutions

Requirements

• 5+ years of data engineering experience
• Experience deploying and running services in AWS and in engineering big-data solutions using technologies like Databricks, EMR, S3, and Spark
• Experience building streaming pipelines using Kafka, Spark, Flink, or Samza
• Experience loading and querying cloud-hosted databases such as Redshift and Snowflake
• Experience designing and developing backend microservices for large scale distributed systems using gRPC or REST
• Experience with graph-based data workflows such as Apache Airflow, Meson
• Excellent communication and people engagement skills

Nice-to-haves

• Familiarity with ML pipelines, data ecosystem and AWS technologies
• Building ML infrastructure, streaming ML applications
• Experience shipping entertainment and media applications for streaming purposes

Benefits

• Comprehensive medical benefits
• Competitive pay
• 401(k) retirement plan