Software Engineer II, Labeling

Key Skills

AWS, Big Data Technology, Effective communication skills, Google Cloud Platform (GCP), Jenkins, Machine learning techniques, PostgreSQL, Python Programming, React.js, Redux, Terraform, TypeScript

Job Description

Meet the team:

The Labeling team is part of the Intelligent Systems organization responsible for tools and services for providing labeled “ground truth” log data used for model training and evaluation. Our services include a data pipeline for media extraction and processing, orchestration of human labeling operations, custom web-based tools for viewing and editing labeled log data, metrics, monitoring, validation and data discovery. Endless exciting challenges exist as we develop new, innovative tools and services that incorporate, visualize, manipulate and interact with both human and machine-generated labels. Come join our team to design and develop rich data labeling services to accelerate our innovation in ML development lifecycles.

What you’ll do:

• Use languages including Python to build our large scale data labeling services, and Typescript to build our frontend web tools
• Implement automated testing of code, including unit tests, integration tests and end-to-end testing.
• Build upon a suite of automated data validations which are designed to improve dataset quality
• Automate infrastructure to test, validate, and graduate product releases using Jenkins, Terraform, and Kubernetes
• Implement strong product quality, performance, and security practices
• Build metrics and dashboards to track operational health and dataset characteristics
• Investigate new approaches and technologies that can be leveraged for next generation solutions

What you'll need to succeed:

• Bachelor's degree in Computer Engineering, Computer Science, Electrical Engineering, Robotics or a related field and 2+ years of relevant experience, Master's degree, or PhD
• Strong software skills in Python and/or TypeScript
• Experience with backend infrastructure such as PostgreSQL and nginx
• Experience with frontend web development frameworks including React and Redux
• Experience deploying/managing infrastructure in public cloud environments such as AWS or GCP
• Belief in rigorous, reliable, high-quality engineering that produces tangible results quickly
• Excited in leading by example applying and evangelizing state of the art development methodologies
• Experience with the challenges of integration, and the need to iterate quickly but with a purposeful plan to build towards larger longer-term goals
• Excellent communication skills are required given our distributed and diverse team

Nice to have:

• Experience with Docker and Kubernetes
• Column oriented Big Data databases such as BigQuery or RedShift
• WebGL graphics or libraries such as Three.js
• Experience with workflow management / orchestration frameworks (Airflow, Dagster, Camunda BPMN)

What we offer you:

• Competitive compensation packages
• High-quality individual and family medical, dental, and vision insurance
• Health savings account with available employer match
• Employer-matched 401(k) retirement plan with immediate vesting
• Employer-paid group term life insurance and the option to elect voluntary life insurance
• Paid parental leave
• Paid medical leave
• Unlimited vacation
• 15 paid holidays
• Complimentary daily lunches, beverages, and snacks for onsite employees
• Pre-tax spending accounts for healthcare and dependent care expenses
• Pre-tax commuter benefits
• Monthly wellness stipend
• Adoption/Surrogacy support program
• Backup child and elder care program
• Professional development reimbursement
• Employee assistance program
• Discounted programs that include legal services, identity theft protection, pet insurance, and more
• Company and team bonding outlets: employee resource groups, quarterly team activity stipend, and wellness initiatives

Learn more about Latitude’s team, mission and career opportunities at lat.ai!

The expected base salary range for this full-time position in California is $143,200-$196,900 USD. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Latitude employees are also eligible to participate in Latitude’s annual bonus programs, equity compensation, and generous Company benefits program, subject to eligibility requirements.

Candidates for positions with Latitude AI must be legally authorized to work in the United States on a permanent basis. Verification of employment eligibility will be required at the time of hire. Visa sponsorship is available for this position.