Machine Learning Engineer

• Design, build, and maintain scalable ML systems and infrastructure using Python, Postgres, and Elasticsearch
• Partner closely with other Machine Learning Engineers, Product Managers, Data Scientists, Data Engineers, and Product Engineers to ensure the successful delivery of strategic and roadmap initiatives
• Own systems throughout the software development lifecycle, from design to development, deployment and monitoring
• Maintain and improve performance of existing data systems and processes while balancing maintainability, observability and readability
• Participate in an on-call rotation where you will support incidents and questions about service behavior from product managers
• Demonstrate a deep sense of ownership by developing a thorough understanding of a domain
• Proactively propose solutions to gaps in process, technology, software design and architecture
• Provide rigorous and detailed code reviews that uphold team standards, testing and software design best practices
• Foster a culture of constant improvement and growth, engineering excellence, humility, positivity and curiosity
• Take a lead role in making our two days in the office productive and engaging, fostering face-to-face mentorship and collaborative whiteboarding sessions

• Bachelor’s degree in Computer Science, Engineering, or a related field or equivalent professional experience
• 3+ years of experience with ML ops (features stores, model registries and auto ML), model serving and optimization
• 3+ years of experience with Python and building highly scalable backend services
• Experience with frameworks like Sklearn, Pandas and Numpy
• 2+ years of experience with relational databases
• 2+ years of experience designing maintainable and scalable systems
• System design experience with a focus on loosely coupled, distributed systems, microservices and event-driven architectures
• Experience developing cloud-native dockerized applications in Kubernetes
• Experience working with online experimentation and platforms like Statsig
• Understanding of both traditional machine learning and deep neural networks
• Strong communication skills with the ability to articulate, diagram and document complex ML or engineering concepts
• Strong analytical, problem-solving, decision-making, and interpersonal skills
• Strong project management and organizational skills with experience identifying project milestones to ensure timely project delivery

Huggingface, Tensorflow, Pytorch experience

• Comprehensive benefits package, including medical, dental, vision, life, disability, and supplemental coverage
• Matching 401(k) program
• Employee Resource Groups
• Office wide engagement activities, team events, happy hours
• Casual dress code
• Free on site parking
• Fully stocked coffee bar
• Onsite gym
• Free counseling sessions through Employee Assistance Program
• Company paid holidays, paid vacation time and wellness days
• 100% paid parental leave
• Referral Program
• Relocation assistance