Machine Learning Engineer

Open positions
At Ataccama, we’re building a self-driving data management platform that enables global businesses to organize, label, and improve the quality of their data at scale. We believe in empowerment and collaboration, and in the potential of each individual contributor. It’s what made us a leader in the 2021 Gartner Magic Quadrant for Data Quality Solutions.
 
We are open to various types of cooperation (remote, hybrid, office, relocation). Reach out to us to find out what the options are. #LI-hybrid

Salary starting from 4 500 EUR gross depending on relevant experience and skills.

Your challenge 🚀

  • Build a truly self-service application for business users so they can work with data even without learning SQL or needing assistance from more technically-skilled colleagues. We are democratizing access to data and making it available for anyone within an organization who needs it.
  • Find ways to automate most activities users must do to reduce the time needed to prepare data, allowing them to actually use the data for their work, and make data-driven decisions.
  • Create a product that contains all the features enterprise solutions must-have, while making it super-easy to use. We want to refute the myth that enterprise software must be ugly and painful to use–it’s a lie!
  • Take end-to-end ownership of the whole product and not just blindly focus on coding.

What you’ll do 💻

  • Co-design, extend, improve, operate and optimize the Python microservices and workers utilizing both established and in-house machine learning algorithms (relationship discovery, recommendation, anomaly detection, deduplication, and more to come).
  • Participate in discussions about new features and closely cooperate with our researchers, so you’ll be contributing and learning at the same time.
  • Leverage a cloud-native environment and distributed computing to power and continuously compute insights derived from connected data at scale.

Is this you? 💪

  • You might not tick all the boxes but we still want to hear from you!
  • Hands-on experience with applied machine learning or data science products.
  • You enjoy constantly learning new things and sharing your knowledge with others.
  • You have prior experience using SQL databases, distributed systems and/or ETL/ELT workflows (Dask, Prefect, Airflow).
  • You know how to deploy code to a Kubernetes cluster (Argo, Kustomize/Helm)
  • You’re not afraid to propose new approaches supported by sound reasons, yet willing to find a win-win solution that may sometimes be different from your original idea.
  • You can clearly communicate your progress, ask for help, provide non-threatening feedback, and document your results.
  • You’re used to/willing to adopt the DevOps mindset (how well the app is operated in production is your business) and learn more about deploying applications to a Kubernetes cluster.
  • You prefer prevention and proactivity over firefighting and hacking.
  • You are physically located in UTC-1 to UTC+3 time zones.

Our technical stack 👨‍💻

  • Frontend: TypeScript, React/Vue, Apollo, Nx, MobX, Styled Components
  • Backend: Java, Spring Boot, Kotlin, GraphQL, Python, jOOQ
  • Big data: Spark, Redshift, Snowflake
  • Storage: Postgres, Elastic, Minio
  • Infrastructure: GitLab CI/CD, Kubernetes, AWS, Azure

Your team 😍

  • You will be part of Data Stories Spaceport.
  • If you want to learn more about our Product & Engineering structure, how it works, and why our teams are called Spaceports, you can take a look at our Chief Product & Technology Officer Martin Zahumensky’s articles where he describes this and more in full detail.

What happens next? 🔜

  • We’ll quickly review your application and let you know whether we’re a good fit to move forward. This won’t take longer than a day.
  • You’ll have your first chat with Šárka or Michal, just so we can get to know each other better, understand your motivation for applying, and make sure you know all the important things about us.
  • Depending on your seniority, you may have another interview or two with teammates from the AI/ML Circle and Lukáš, your hiring manager.
  • We’ll finish the interviews with lunch, so you can meet your future team.
  • The whole process shouldn’t take longer than a week or two.

 Perks & Benefits 

🌴 Work-life balance
5 weeks of vacation, 2 sick days, and 1 personal day for each calendar year with Ataccama (up to 5 in total).
Flexible working hours & flexible working setup. We’re not strict about how you work, as long as you’re comfortable and happy. 

💲 Comp & Benefits
Employee Stock Options Program - Watch your successes directly contribute to our growth! Own a portion of the company and support each other’s wins. 
"Bring Your Friend" referral program - You can get 1500 - 3000 EUR (+ 400 EUR for your team’s fund) when a new teammate you recommend finishes their probation period. 
Meal vouchers. 

🌱Health & Free time
Multisport card (after finishing your probation period).
Annual package for mental health support (sessions with a counselor, therapist, or coach).

🎓 Learning & Development
Online company language courses (German, English).
Conference tickets to the best industry events of the year.
Online courses & company access to Udemy to hone your skills.
Company library, where you can even suggest the best educational books for us to order.

💻 IT equipment
Company laptop (Dell, MacBook).
Monitor, mouse, headphones, and office chair for home office.
Company mobile phone + SIM card & package of mobile data.

🍩 Gifts, surprises & parties
Receive gifts including the latest Ataccama merchandise, T-shirts, limited edition hoodies, and more surprises! 
Join events like our themed New Year’s parties and summer all-staffs. Though mostly online for now, we’re excited to meet in person when it’s safe!
Fuel up! Our kitchens are stocked with fresh fruit and juice, teas, and the best coffee in town. 

We offer equal opportunities

Ataccama is proud to be an Equal Opportunity Employer. We know diversity fuels knowledge exchange, fosters innovation, and empowers us to grow and be better as a company and as humans. We seek to recruit, develop, and retain the most talented people from a diverse candidate pool.

We are committed to fair and accessible employment practices. If you are contacted for a job opportunity, please let us know how we can best meet your needs and advise us of any accommodations required to ensure fair and equitable access throughout the recruitment and selection process.

Apply now
Location Bratislava
Team AI
Type Hybrid

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