Senior Software Engineer

Summary

Join Headspace as a Senior Software Engineer, MLOps and contribute to the advancement of AI and data science capabilities. You will design and deliver cutting-edge platforms, frameworks, and services for Data and AI, empowering AI practitioners and driving Headspace's vision of improving health and happiness worldwide. This role involves leading initiatives, designing ML architecture, implementing CI/CD pipelines, developing tools, automating processes, monitoring systems, mentoring junior engineers, and collaborating with cross-functional teams.

Requirements

• Bachelor of Science degree or higher in Computer Science, Engineering, or a related field
• 3+ years of experience with AWS and MLOps practices
• 2+ years of experience with TypeScript and Terraform, showcasing proficiency in modern development and infrastructure tools
• 4+ years of software engineering experience, including at least 2 years in large businesses or enterprise environments
• 3+ years of experience deploying and configuring software configuration management, build and deployment processes, CI/CD pipelines, and other application lifecycle management tools on AWS
• Proven ability to lead cross-functional initiatives and deliver solutions end-to-end, from inception to production
• Strong experience designing and implementing robust, highly scalable, and reliable services in production environments
• Demonstrated problem-solving and communication skills, with the ability to influence decisions and collaborate effectively across internal teams

Responsibilities

• Lead and drive initiatives end-to-end, spanning multiple layers of architecture and business domains
• Provide strategic guidance to ensure alignment with organizational goals
• Design, implement, and optimize ML-related architecture in AWS using Infrastructure as Code (IaC) tools like Terraform, ensuring scalability, reliability, and efficiency
• Establish and maintain robust CI/CD pipelines to automate testing, deployment, and monitoring of ML models and services
• Ensure best practices for production-level ML systems
• Build and improve productivity-enhancing tools and frameworks for AI and ML practitioners, enabling efficient experimentation and deployment
• Drive the development and adoption of advanced self-service capabilities and automation frameworks, reducing operational overhead and improving scalability
• Develop and provision automated alerts, detailed metrics, and advanced monitoring solutions for critical ML pipelines, ensuring operational excellence and rapid issue resolution
• Mentor junior engineers and collaborate with cross-functional teams to deliver scalable and impactful ML infrastructure solutions

Benefits

• The base salary range for this role is determined by a number of factors, including but not limited to skills and scope required, relevant licensure and certifications, and unique relevant experience and job-related skills
• The base salary range for this role is $104,981-$157,476
• At Headspace, cash salary is but one component of our Total Rewards package
• We’re proud of our robust package inclusive of: base salary, stock awards, comprehensive healthcare coverage, monthly wellness stipend, retirement savings match, lifetime Headspace membership, unlimited, free mental health coaching, generous parental leave, and much more
• Paid performance incentives are also included for those in eligible roles