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Staff Machine Learning Engineer - Hybrid, Poland

Clari’s Revenue platform gives forecasting accuracy and visibility from the sales rep to the board room on revenue performance - helping them spot revenue leak to answer if they will meet, beat, or miss their sales goals. With insights like this, no wonder leading companies worldwide, including Okta, Adobe, Workday, and Zoom use Clari to drive revenue accuracy and precision. We never get tired of our customers singing our praises because it fuels us to help them continue to achieve remarkable. The next generation of revenue excellence is here…are you ready to achieve remarkable with us?


About the Team

The Engineering Team at Clari is deeply committed to building an enterprise-grade platform that serves as the backbone for our customer's most critical business process - Revenue. With an unrelenting commitment to innovation, our mission is to craft the ultimate revenue intelligence platform for our customers. Rooted in Agile principles, we foster a culture of adaptability and efficiency across all our teams. If you're energized by the prospect of contributing to a dynamic environment that emphasizes collaboration, continuous improvement, and leveraging the forefront of technology to address customer needs, we would love to meet you.


About the Role

We are looking for a talented Staff Machine Learning Platform Engineer who is passionate about solving complex problems and advancing AI/ML platforms. You'll collaborate with motivated colleagues on challenging, enterprise-scale projects, ensuring high-quality and reliable solutions. You will be responsible for defining and developing our ML platform, frameworks for generative AI-powered applications, and ML data pipelines. These systems will drive key capabilities, including metric forecasting, insights from conversational intelligence leveraging LLMs, and ML tools that enhance sales workflows.


You’ll engage in the entire lifecycle—from ideation and experimentation to productization—while monitoring model performance across hundreds of customers. The products you build will be used by many of the world’s most renowned companies. 


This is a hybrid position, which will require the ability to be onsite in our Kraków, Poland office as needed. Candidates must be based in Poland.


Responsibilities
  • Design and build ML architecture components to support large-scale data science projects
  • Manage and enhance Clari’s ML platform for training and deploying AI models
  • Develop next-generation data pipelines to power Clari’s AI models
  • Contribute to all aspects of the AI/ML platform
  • Become an industry expert in MLOps and data pipelines
  • Maintain post-production ownership of ML modules incorporated into the product
  • Serve as a senior technical advisor to management on machine learning and statistical methods
  • Lead or participate in the evaluation of machine learning models to determine their suitability for specific analytics problems
  • Provide feedback on best practices and recommend necessary investments to increase the efficiency of the Data Science team


Qualifications
  • 8+ years of server-side development experience
  • 4+ years of experience designing, building, and supporting machine learning platforms, services, and frameworks
  • Deep knowledge of machine learning (e.g., deep learning, ensemble methods, regression methods, time series analysis) and experience leading ML engineering projects with large-scale data
  • Proficiency in Python and standard ML frameworks such as PyTorch, TensorFlow, SageMaker, MLFlow, and Ray
  • Strong understanding of software engineering principles, including data structures and algorithms
  • Experience with LLMs and related frameworks, such as LangChain
  • Understanding of ML system architecture considerations, including performance, parallelization, robustness, and fault mitigation
  • Experience with cloud infrastructure and Terraform
  • Self-directed, self-motivated, and detail-oriented, with the ability to design proposals and analyze production issues thoroughly
  • Knowledge of SQL and NoSQL databases; familiarity with Java and Scala is a plus
  • Experience with streaming frameworks such as Kafka is a plus
  • Familiarity with LLM evaluation tools like LangSmith is preferred
  • Knowledge of DataLake architectures is preferred
  • Experience with service-oriented architecture and APIs is preferred


Perks and Benefits @ Clari
  • Team-bonding activities and company-wide events
  • Flexible working hours and remote opportunities
  • Annual Well-being and Professional Development Stipends
  • Private Healthcare and Multisport Pass
  • Paid maternity and paternity leave
  • Stock options


#LI-Hybrid



You’ll often hear our CEO talk about being remarkable. To Clari, remarkable means many things. We believe in providing interesting and meaningful work in a supportive and inclusive environment - free from discrimination for everyone without regard to race, color, religion, sex, sexual orientation, national origin, age, disability, gender identity, or veteran status. 


Clari focuses on culture add, not culture fit, and believe we are made stronger by what makes you unique. If you are passionate about learning and excited about what we are doing, then we want to hear from you!

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What You Should Know About Staff Machine Learning Engineer - Hybrid, Poland, Clari

Are you ready to join Clari as a Staff Machine Learning Engineer in our Kraków, Poland office? At Clari, we’re all about transforming revenue performance through our innovative platform, which is trusted by leading companies such as Okta, Adobe, and Zoom. As part of a dynamic Engineering Team, you'll play a crucial role in defining and developing our Machine Learning platform, which powers advanced capabilities for forecasting metrics, deriving insights from conversational intelligence, and enhancing sales workflows. Your passion for solving complex problems will be key to creating a reliable and high-quality ML framework that positively impacts our customers. You'll be involved in the entire lifecycle of our products, from ideation to productization, working with cutting-edge technology and collaborating with talented colleagues. Your responsibilities will include designing ML architecture components, enhancing our existing ML platforms, developing next-generation data pipelines, and ensuring the robustness of our models. If you've got at least 8 years of server-side development experience and deep knowledge of machine learning, plus you thrive in a collaborative environment focused on continuous improvement and innovation, we would love to hear from you. Join us and help drive the next generation of revenue intelligence. Let’s achieve remarkable together!

Frequently Asked Questions (FAQs) for Staff Machine Learning Engineer - Hybrid, Poland Role at Clari
What are the key responsibilities of a Staff Machine Learning Engineer at Clari?

As a Staff Machine Learning Engineer at Clari, your key responsibilities will include designing and building machine learning architecture components, enhancing our existing ML platform, and developing robust data pipelines. You'll be involved in end-to-end machine learning processes, ensuring that models are effective, reliable, and seamlessly integrated into our revenue intelligence platform.

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What qualifications are required for the Staff Machine Learning Engineer position at Clari?

To qualify for the Staff Machine Learning Engineer position at Clari, you should have at least 8 years of server-side development experience and 4 years of experience focused on machine learning platforms. A deep understanding of machine learning methods, proficiency in Python and frameworks like PyTorch and TensorFlow, and experience with cloud infrastructure are essential.

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What does the work environment look like for a Staff Machine Learning Engineer at Clari?

The work environment for a Staff Machine Learning Engineer at Clari fosters collaboration and innovation. With a hybrid model based in Kraków, Poland, you will often collaborate with motivated colleagues in a dynamic setting, emphasizing adaptability, efficiency, and continuous improvement across all projects.

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What are the perks of working as a Staff Machine Learning Engineer at Clari?

Clari offers several perks for Staff Machine Learning Engineers, including flexible working hours, remote work opportunities, team-bonding activities, and annual well-being stipends. Additionally, you'll benefit from private healthcare, paid parental leave, and the chance to participate in exciting company-wide events.

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How does Clari value diversity and inclusion in the workplace for Staff Machine Learning Engineers?

At Clari, diversity and inclusion are cornerstones of our culture. We believe that everyone should have equal opportunities, regardless of their background. We focus on culture add rather than culture fit, ensuring that all employees, including Staff Machine Learning Engineers, feel valued for their unique contributions and experiences.

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Common Interview Questions for Staff Machine Learning Engineer - Hybrid, Poland
Can you explain your experience with machine learning frameworks at Clari?

In your response, highlight specific frameworks you’ve worked with, like TensorFlow or PyTorch, and describe specific projects where these tools contributed to the success of your machine learning models. It’s also beneficial to mention how you applied your knowledge to solve real-world problems.

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How do you approach designing ML architecture for large-scale data projects?

Discuss your methodical approach to ML architecture design, including considerations for scalability, performance, and reliability. Mention tools and practices you've used to ensure that your architecture meets these requirements efficiently.

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Describe a time you faced a challenge with ML model performance and how you resolved it.

Use the STAR method (Situation, Task, Action, Result) to structure your response. Clearly outline the specific challenge, your role in addressing it, the actions you took, and the positive outcome that resulted from your efforts.

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What MLOps practices do you consider essential for managing machine learning models?

Discuss the importance of monitoring, versioning, and deployment strategies for machine learning models as part of an effective MLOps process. Explain how these practices ensure reliable and scalable model performance throughout their lifecycle.

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How do you stay updated with the latest trends and technologies in machine learning?

Talk about specific resources you follow, such as online courses, research papers, forums, or conferences. Mention any communities you're a part of, and how you apply new knowledge in your work to enhance your contributions to projects.

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What strategies do you use to manage large datasets in machine learning?

Discuss techniques you've employed such as data preprocessing, normalization, and efficient storage solutions. Explain how these strategies influence the performance of your models and the significance of clean, structured data in successful machine learning projects.

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How have you contributed to enhancing your team's efficiency in engineering projects?

Share specific examples of how you've optimized workflows, introduced automation, or shared best practices within your team. Highlight positive outcomes such as improved delivery times or increased model accuracy.

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What role does communication play in your work as a Staff Machine Learning Engineer?

Emphasize the importance of clear communication with stakeholders and team members, especially when conveying technical concepts. Provide examples of how effective communication has led to collaboration and successful project outcomes.

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How would you evaluate the suitability of a machine learning model for a given problem?

Describe your approach to evaluating a model's performance, discussing metrics, validation techniques, and how these help determine the model's effectiveness for specific analytics problems. Share any tools you prefer for this process.

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What do you think makes Clari's approach to revenue intelligence unique?

Research the company's philosophy and share insights on its innovative revenue platform. Mention how this aligns with your values and approach to problem-solving in your role as a Staff Machine Learning Engineer.

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To make your revenue process more connected, efficient, and predictable.

95 jobs
MATCH
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CULTURE VALUES
Transparent & Candid
Customer-Centric
Collaboration over Competition
Rise from Within
SENIORITY LEVEL REQUIREMENT
TEAM SIZE
EMPLOYMENT TYPE
Full-time, hybrid
DATE POSTED
January 12, 2025

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