Senior ML Engineer

As a Senior ML Engineer at Justworks, your primary responsibilities include designing, building, and deploying scalable machine learning models for production systems. You'll be deeply involved in feature engineering, model training, tuning, evaluation, and ensuring robust performance and efficiency in your models. Moreover, collaborating with data engineers and product teams is essential to integrate ML solutions seamlessly into our business workflows.

To qualify for the Senior ML Engineer role at Justworks, candidates should possess a minimum of 5 years of experience in Machine Learning, Data Science, or related fields. A strong proficiency in Python, SQL, as well as ML frameworks such as TensorFlow and PyTorch is required. Experience with cloud platforms and familiarity with MLOps best practices is also essential for ensuring effective model deployment and monitoring.

In your role as a Senior ML Engineer at Justworks, you'll have the opportunity to work with various technologies, including SQL, Python, and tools such as TensorFlow, PyTorch, and Scikit-Learn. You'll also engage with cloud platforms like AWS, GCP, or Azure, along with orchestration frameworks such as LangChain and Ray for building sophisticated AI-driven applications.

Justworks is dedicated to fostering a culture of professional growth. As a Senior ML Engineer, you will gain hands-on experience with advanced AI technologies and frameworks while collaborating with experienced peers. Additionally, Justworks encourages participation in AI/ML conferences and workshops, providing a rich environment to continuously learn and apply cutting-edge techniques in your work.

The team culture for ML Engineers at Justworks is characterized by collaboration, diversity, and support. You'll find a group of passionate individuals who are eager to share knowledge and foster a community where teamwork thrives. Our commitment to values such as camaraderie, openness, and integrity shapes a positive work environment where everyone can contribute to building innovative solutions together.

In your response, detail specific projects where you've built and optimized ML models. Highlight the techniques you employed, the tools you used, and the results these models achieved. This showcases your technical proficiency and ability to contribute effectively as a Senior ML Engineer at Justworks.

Discuss your systematic approach to feature engineering, emphasizing how you identify, create, and select features that enhance model performance. Mention any specific tools or frameworks you've utilized and the impact your features had on the overall success of the ML model.

Articulate your familiarity with MLOps practices and tools for deploying and monitoring ML models. Describe the importance of versioning, logging, and setting up alerts for model performance, utilizing cloud platforms like AWS or GCP to ensure operational efficiency.

Provide examples of specific challenges, such as data quality issues or computation limits. Explain your thought process in problem-solving, the actions you took, and the results achieved. This demonstrates your resilience and ability to handle difficulties as a Senior ML Engineer.

Share your strategies for continuous learning in the field of AI and machine learning, such as following industry blogs, participating in online courses, or attending conferences. Your commitment to staying updated will highlight your enthusiasm for the role at Justworks.

Discuss your hands-on experience with specific deep learning frameworks, including specific projects where you implemented neural networks. Detail how you would choose one framework over the other based on project needs, emphasizing your technical flexibility.

Talk about instances where you worked alongside cross-functional teams, such as data engineers or product managers. Highlight your communication skills, the role you played, and how collaboration led to successful project completion, reflecting the team-oriented culture at Justworks.

Explain your understanding of ethical AI principles and how you implement them in your projects. Discuss any frameworks you follow to ensure fairness, transparency, and accountability in machine learning systems, showing that you value responsible AI practices.

Provide insights into a specific project where you moved from building an ML model into a complete AI solution. Discuss the integration steps you took, the technology stack used, and how the final application delivered value to its users or stakeholders.

Share your insights on emerging trends in machine learning and AI, discussing key areas like generative models or multimodal AI. Your perspective on future developments will demonstrate your excitement for continued innovation, aligning with Justworks' forward-thinking ethos.