Data Engineer – Applied ML

Responsibilities

• Designing and building LLM-powered and ML-based pipelines that classify, normalize, structure and match product, brand and category data
• Building agentic workflows (LangGraph or similar) that automate complex data tasks end to end
• Choosing the right approach for each problem (LLMs, embeddings, fine-tuned models, classical classifiers or rules), balancing accuracy, cost and latency
• Scaling solutions to run efficiently over billions of records, using Spark, Databricks and our cloud infrastructure
• Building evaluation frameworks: ground-truth datasets, labeling processes, quality metrics and ongoing monitoring
• Taking solutions from POC to production, and owning them after launch
• Working closely with Product to define requirements and shape the roadmap
• Collaborating with data engineers, data scientists and other R&D teams on infrastructure and best practices

Your daily responsibilities may include

This is the perfect job for someone who

• Holds a B.Sc. or M.Sc. in Computer Science, Data Science, Mathematics or another relevant field
• Has 4+ years of hands-on experience as a data engineer, ML engineer or data scientist, with solutions running in production

Has strong Python skills and writes production-quality code

Has hands-on experience building LLM-based applications in production (prompt engineering, structured outputs, RAG, embeddings, evaluation)

Has worked with the modern LLM stack: LLM provider APIs (OpenAI, Anthropic, etc.), LangGraph or LangChain, Hugging Face and vector stores

Has a solid grasp of text classification and NLP methods, both classical and modern, and knows when to use each

Has experience processing large-scale data with Spark/PySpark, Databricks or similar, on AWS or another cloud

Understands evaluation and data quality well: precision/recall trade-offs, building ground truth, error analysis

Is pragmatic and delivery-focused, comfortable with ambiguity, and communicates clearly with Product and business stakeholders

Has experience with taxonomies, entity resolution or product/e-commerce data (advantage)

Has experience with fine-tuning or deploying open-source models (advantage)

At Similarweb, collaborating with our colleagues in-office creates a more connected, unified culture. Our best work is a product of our face-to-face collaboration, with the ability to work partially from home.

Why you’ll love being a Similarwebber

You’ll actually love the product you work with

Our customers aren’t our only raving fans. When we asked our employees why they chose to come work at Similarweb, 99% of them said “the product.” Imagine how exciting your job is when you get to work with the most powerful digital intelligence platform in the world.

You’ll find a home for your big ideas

We encourage an open dialogue and empower employees to bring their ideas to the table. You’ll find the resources you need to take initiative and create meaningful change within the organization.

We offer competitive perks & benefits

We take your well-being seriously, and offer competitive compensation packages to all employees. We also put a strong emphasis on community, with regular team outings and happy hours.

You can grow your career in any direction you choose:

Interested in becoming a VP or want to transition into a different department? Whether it’s Career Week, personalized coaching, or our ongoing learning solutions, you’ll find all the tools and opportunities you need to develop your career right here.

Diversity isn’t just a buzzword

People want to work in a place where they can be themselves. We strive to create a workplace that is reflective of the communities we serve, where everyone is empowered to bring their full, authentic selves to work. We are committed to inclusivity across race, gender, ethnicity, culture, sexual orientation, age, religion, spirituality, identity and experience. We believe our culture of equality and mutual respect also helps us better understand and serve our customers in a world that is becoming more global, more diverse, and more digital every day.

We will handle your application and information related to your application in accordance with the Applicant Privacy Policy available here: https://www.similarweb.com/corp/legal/applicant-privacy-policies/

We will handle your application and information related to your application in accordance with the Applicant Privacy Policy available here