Senior Software Engineer - ML/Data Infrastructure

At UnitX, the Senior Software Engineer - ML/Data Infrastructure is responsible for designing and building scalable pipelines for data ingestion, preprocessing, and annotation from 2D/3D vision systems. Collaborating closely with ML engineers, you will develop infrastructure for distributed model training and implement APIs for ML model deployment, ensuring system observability across the entire machine learning lifecycle. Your role also includes mentoring junior engineers and defining best practices for ML Ops within the high-performance engineering culture at UnitX.

To be considered for the Senior Software Engineer - ML/Data Infrastructure role at UnitX, candidates should have a Bachelor's degree in Computer Science, Computer Engineering, or a related technical field. Ideally, you should bring at least 5 years of experience building backend or infrastructure systems in data- or ML-intensive environments. A deep understanding of distributed systems, proficiency in Python, and familiarity with cloud-native deployments and ML Ops best practices are essential for success in this position.

At UnitX, we foster an environment of continuous learning and development for all team members, including our Senior Software Engineer - ML/Data Infrastructure. Mentorship opportunities abound as you collaborate with talented engineers and cross-functional teams; we encourage you to share knowledge and best practices in ML Ops and data engineering. Additionally, we provide resources for personal and professional development, ensuring you have the support you need to excel and grow in your career.

As a Senior Software Engineer - ML/Data Infrastructure at UnitX, you will be working with a diverse tech stack that includes deep learning frameworks such as PyTorch and software languages like Python and Java. Your role will utilize cloud computing technologies and handle real-time systems, while also engaging with tools for data management and APIs. Familiarity with containerization and orchestration tools will be beneficial as you integrate with robotic and edge devices.

The company culture at UnitX is fast-paced, innovative, and focused on solving complex problems. As a Senior Software Engineer - ML/Data Infrastructure, you can expect a collaborative environment with a team that values your input and encourages agile thinking. You’ll find yourself surrounded by driven individuals who are passionate about leveraging technology for impactful outcomes while enjoying benefits such as unlimited PTO and daily meals, all aimed at fostering a positive workplace atmosphere.

When answering this question, focus on specific examples where you've designed and implemented data pipelines, detailing the technologies and methodologies you used. Highlight any challenges you faced, how you overcame them, and the impact your work had on the project. Relate your experience to UnitX's mission and the type of data you’d expect to work with.

Address this question by describing the processes and frameworks you've implemented to monitor data quality and system performance in past projects. Discuss tools you have used for logging, monitoring, and alerting, and detail how you incorporate feedback loops in your data pipelines to maintain high quality as you iterate on models, emphasizing the continuous improvement aspect.

Share insights from your past experiences that showcase your understanding of ML Ops best practices. Discuss strategies you've used for versioning models, tracking experiments, promoting code quality, and CI/CD for ML applications. Be specific about the tools and platforms you've worked with, as this demonstrates your hands-on experience and thought leadership in this area.

Use this opportunity to discuss your time management and organizational skills. Describe methods you employ to prioritize tasks based on project deadlines, dependencies, and impact, such as Agile methodologies or workflow management tools. Mention any experiences where your prioritization led to successful project outcomes, emphasizing how you adapt to fluid environments.

Reflect on times when you've worked alongside different teams, such as engineering, product, or design. Describe how you facilitated communication, shared objectives, and resolved conflicts to achieve a common goal. Highlight the importance of effective collaboration and how it led to successful project deliveries, which is crucial at a team-focused company like UnitX.

Talk about specific challenges such as latency issues, data synchronization, or hardware constraints. Share your analytical approach to solving these challenges, including any technologies or strategies that you employed. Relating these experiences to the specific needs of UnitX’s robotics products can demonstrate both your expertise and understanding of the job's challenges.

In your response, showcase your experience with cloud providers (like AWS, Azure, or Google Cloud) and highlight specific services (like S3, Lambda, or Kubernetes) you utilized for deploying and managing ML applications. Discuss any architectural decisions you've made and how they've improved scalability, flexibility, or cost-efficiency for projects.

Explain your approach to continuous learning, being sure to mention specific resources you turn to, such as journals, online courses, or communities. Discuss any personal projects or contributions to open-source that reflect your commitment to growing your skills. Staying up-to-date is pivotal in a rapidly evolving tech landscape, and it showcases your dedication to your craft.

This question allows you to express your views on mentorship, emphasizing its importance in fostering a collaborative environment. Share examples of how you've mentored junior staff or engaged in knowledge-sharing initiatives, and explain how this aligns with the culture of continuous improvement and high performance at UnitX.

When answering this question, tailor your response to reflect an understanding of UnitX's mission and values. Discuss why the specific projects and technology at UnitX excite you and how they align with your own career goals and aspirations. Express enthusiasm for the opportunity to contribute to cutting-edge technology that reshapes manufacturing.