Clari

Team Lead, Machine Learning Kraków, Poland Engineering – Data Science and Machine Learning Full Time Hybrid

Poland
TensorFlow NumPy PostgreSQL PyTorch MySQL SQL Streaming Deep Learning Python Keras MongoDB Kafka Kubernetes Machine Learning
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Description
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 an Agile shop that practices Scrum across all of our teams. We layer in coordination practices such as Big Room Planning to stay aligned to Clari’s KPIs quarterly across sites and teams. If you love working in an Agile environment that values collaboration and continuous improvement then we can’t wait to meet you.

About the Role
We are looking for a technical Machine Learning Team Lead who is passionate about solving complex problems and delivering products to our customers. You’ll lead a new team of talented and driven colleagues, in developing a technical approach and execution of a diverse set of complex problems related to sales engagement. You’ll be a player-coach, focused on developing the team in the long term, but hands-on where needed to get projects done.

This team will develop data-driven ML solutions to power our sales engagement platform (think email sequencing, AI-generated email responses, and next-best action modeling). This will be done using some of the cutting-edge technologies we are using at Clari (Ray, LLMs, langchain, etc.), plus whatever approaches + frameworks you decide to introduce.

The products you build will be used by many of the most well-known companies in the world. 

This is a hybrid opportunity based in Kraków, Poland. Candidates must be based in Poland.

Responsibilities

    • Manage and coach this team, developing team members professionally and technically
    • Provide technical leadership, leveraging your experience in the ML domain to advise on both software design and ML/statistical solutions. Work with the product team to understand key high-value problems and advise them on feasibility and limitations of possible approaches
    • Lead the evaluation of various machine learning models and qualify their suitability to a specific analytics problem
    • Lead development of ML algorithm-based product features, which includes considerations of deployment, scalability, observability, and rollout
    • Maintain post-production ownership of ML modules incorporated into the product
    • Use an agile methodology to manage delivery of software by the team
    • Help to grow a new ML team from 0 to 4-5 members in the next 6-9 months

Qualifications

    • 2+ years experience leading an ML/Data Science team
    • 5+ years of ML/data science experience, demonstrating high aptitude in solving complex analytical problems in the ML/Data science domain
    • 3+ years experience in delivering ML-based products and managing them in a production environment
    • Deep knowledge of machine learning (e.g. deep learning, ensemble methods, regression methods, time series analysis) and statistical methods
    • Experience in leading the development of ML applications dealing with large-scale data
    • Ability to communicate technical findings based on complex quantitative analysis in a clear, precise, and actionable manner
    • Knowledge of Python and standard ML frameworks such as PyTorch, TensorFlow, or Keras
    • Knowledge of analysis tools and packages such as NumPy and SciPy
    • Experience with end-to-end ownership of ML features,  including productization, continuous performance monitoring, and ongoing improvements
    • Understanding of architecture consideration, performance, parallelization, robustness, and fault mitigation  
    • Knowledge of SQL (e.g. Postgres, MySQL) and NoSQL databases (e.g. MongoDB)
    • Experience working within a distributed organization, with a worldwide presence
    • Experience with multi-threading and replication concepts in cloud applications is a plus
    • Experience working with streaming frameworks such as Kafka, and Kinesis is a plus
    • Experience managing the model lifecycle with tools like SageMaker or MLflow is a plus
    • K8S familiarity is a plus

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-Remote #BI-Remote

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 nurturing and inclusive environment. One that is free from discrimination for everyone without regard to race, color, religion, sex, sexual orientation, national origin, age, disability, gender identity, or veteran status. Efforts have to be recognized. Voices have to be heard. And work-life balance has to be baked into the very fiber of the company. We are honored to be recognized by Inc. Magazine and Bay Area News Group as a best place to work for several years running. We’d love to have you join us on our journey to remarkable!

If you feel you don’t meet 100% of the qualifications outlined above, we want you to apply! Clari believes in hiring people, not just skills. If you are passionate about learning and excited about what we are doing, then we want to hear from you. 

Clari focuses on culture add, not culture fit. One of our values is One with Customers, and we know we can serve them better when we involve as many different perspectives as possible. Our team is made stronger by what makes you unique, so we hope you’ll bring your whole self to the job. 

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