Senior Machine Learning Operations Engineer

What You’ll Do

• Design, build, and maintain scalable ML systems and infrastructure using Python, Postgres, and Elasticsearch.
• Lead sprints, conduct rigorous code reviews, and set the "gold standard" for engineering practices across the organization.
• Actively mentor junior and mid-level engineers, fostering a culture of technical excellence and professional growth.
• 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
• Independently and with relatively little oversight, 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.
• Demonstrate a deep sense of ownership by developing a thorough understanding of a domain. At the same time, you must be able to explain the behavior of and contribute to code bases that may be outside your domain.
• Proactively propose solutions to gaps or risks 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.
• In partnership with other leaders, establish best practices across the organization and drive the organization’s standards within the team, leading by example

Qualities That Enable Success in This Role:

You are a self-starter who can deliver projects independently, yet you also thrive in collaborative environments. You recognize the value of diverse perspectives in developing optimal solutions and consistently demonstrate a willingness to support colleagues as a strong team player.

You approach software engineering as a craft, balancing the pursuit of clean, maintainable code with the demands of a fast-moving, dynamic business environment. You collaborate effectively with product managers and leadership to choose development paths that minimize technical debt while ensuring the timely delivery of high-quality products. While you have a strong drive for innovation, you also recognize the critical need to stabilize and harden existing products and services.

You find genuine joy in helping others level up their skills and navigate their career paths. You view peer reviews as a powerful tool for technical mentorship and can provide feedback in a constructive manner.

You are able to translate ambiguous and amorphous ideas or problems into concrete projects or initiatives while getting buy-in from engineering, data science, data engineering or product management partners.

You believe that while remote work is functional, in-person collaboration is where the "magic" happens. You are excited to help shape the energy of our physical workspace.

You take initiative to go beyond current responsibilities and actively seek new challenges.

You are passionate about building high impact ML and data driven products.

Qualifications

• Bachelor’s degree in Computer Science, Engineering, or a related field or equivalent professional experience. 
• 5+ years of experience with Python, object oriented programming and building highly scalable backend services.
• Experience with ML ops, model serving and optimization a plus.
• 3+ years of experience with relational databases 
• 2+ years in a lead or senior-level capacity
• 2+ years of experience designing maintainable and scalable systems
• Proven expertise in system design with a focus on distributed systems 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 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.

The Perks of Working With Us

• Take advantage of our comprehensive benefits package, including medical, dental, vision, life, disability, and supplemental coverage.
• Invest in your future with our matching 401(k) program.
• Build relationships and find your home at Arrive through our Employee Resource Groups.
• Enjoy office wide engagement activities, team events, happy hours and more!
• Leave the suit and tie at home; our dress code is casual.
• Work in the booming city of Austin, TX – we are in a convenient location close to the airport and downtown.
• Park your car for free on site!
• Start your morning with a specialty drink from our fully stocked coffee bar, Broker’s Brew.
• Sweat it out with the team at our onsite gym.
• Maximize your wellness with free counseling sessions through our Employee Assistance Program
• Take time to manage your physical and mental health - we offer company paid holidays, paid vacation time and wellness days.
• Receive 100% paid parental leave when you become a new parent.
• Get paid to work with your friends through our Referral Program!
• Get relocation assistance! If you are not local to the area, we offer relocation packages.