Senior Machine Learning Engineer / Data Scientist at Bloomreach

Role overview

Qualifications

BS/MS degree in Computer Science or related discipline with strong mathematical foundation and Python programming skills
At least 3 years of experience building fast, scalable ML/analytical algorithms in corporate or startup environments
Strong awareness of Generative AI and LLM trends; experience with GenAI stacks is a plus
Experience with deep learning frameworks (PyTorch/Keras/TensorFlow) and techniques (transfer learning, RNN/LSTM, Transformers)

Responsibilities

Design, develop, and enhance ML/AI models for predictions, contextual personalization, and agentic workflows
Process historical data, product catalogs, and user behavior to extract hidden relations and features
Conduct research to explore cutting-edge ML techniques and deliver quick proofs of concept
Collaborate with ML engineers to integrate and scale ML components to production capable of handling terabytes of data

Key facts

Remote from: Czechia
Full time
Senior (5-10 years)
Machine Learning Engineer
English

Other skills

Communication
Problem Solving
Analytical Skills
Teamwork

About the company

Bloomreach

Computer Software / SaaS

Bloomreach personalizes the e-commerce experience by unifying real-time customer and product data so businesses understand what customers really want. By connecting that understanding to every channel, the e-commerce experience continuously reflects a changing customer as they shop. With the scale of AI, this creates endless new paths to purchase.

Company details

Company typeUnicorn

IndustryComputer Software / SaaS

Company size501 - 1000

Links

Website LinkedIn See all jobs

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Job description

Bloomreach is building the world’s premier agentic platform for personalization.We’re revolutionizing how businesses connect with their customers, building and deploying AI agents to personalize the entire customer journey.

We're taking autonomous search mainstream, making product discovery more intuitive and conversational for customers, and more profitable for businesses.
We’re making conversational shopping a reality, connecting every shopper with tailored guidance and product expertise — available on demand, at every touchpoint in their journey.
We're designing the future of autonomous marketing, taking the work out of workflows, and reclaiming the creative, strategic, and customer-first work marketers were always meant to do.

And we're building all of that on the intelligence of a single AI engine — Loomi AI — so that personalization isn't only autonomous…it's also consistent.From retail to financial services, hospitality to gaming, businesses use Bloomreach to drive higher growth and lasting loyalty. We power personalization for more than 1,400 global brands, including American Eagle, Sonepar, and Pandora.

Bloomreach is seeking a seasoned Senior Machine Learning Engineer to own the design and implementation of cutting-edge AI and GenAI driven algorithmic components for contextual personalization, predictions and behavioral insights that are used to personalize digital experiences for our customers. We are currently allowing flexibility for our employees to work from anywhere for the respective region (Central & Eastern Europe) or we are happy to meet you in our offices in Bratislava (Slovakia) or Brno, Prague (Czechia) on a full-time basis.

Your Responsibilities:

Design, develop, and enhance ML/AI models which Predictions, Contextual Personalization and our new agentic workflows
Process historical data, product catalog and user behaviours to extract hidden relations and features.
Conduct research to explore ongoing cutting-edge ML techniques and conduct a quick POC.
Work closely with ML Engineers to integrate and scale ML components to a production-level that can handle terabytes of data.
Continuously learn and stay up to date with the current state-of-the-art techniques by reading research papers and attending AI/ML conferences.

Qualifications:

BS/MS degree in Computer Science or a related discipline with a strong mathematical foundation and excellent programming skills (primarily Python)
At least 3 years of experience building ML-driven fast and scalable ML/analytical algorithms in a corporate/startup environment.
Strong awareness and understanding of recent trends in Generative AI and LLMs. Experience in working with GenAI stack will be treated as strong credentials.
Strong understanding of various machine learning and natural language processing technologies, such as classification, information retrieval, clustering, knowledge graph, semi-supervised learning and ranking.
Excellent exploratory data analysis skills with the ability to slice and dice data at scale using SQL in BigQuery.
Good problem solving and analytical skills. Ability to learn and adapt to newer ML technologies.
Exposure to deep learning stack (PyTorch/Keras/TensorFlow) and techniques (Representation/Transfer Learning, RNN/LSTM, Transformers).
Experience working with Big Data in a cloud based production environment (AWS/GCP/Azure).
Effective communication skills in English, both verbally and in written form.

#LI-KP1

More things you'll like about Bloomreach:

Culture:

A great deal of freedom and trust. At Bloomreach we don’t clock in and out, and we have neither corporate rules nor long approval processes. This freedom goes hand in hand with responsibility. We are interested in results from day one.
We have defined our 5 values and the 10 underlying key behaviors that we strongly believe in. We can only succeed if everyone lives these behaviors day to day. We've embedded them in our processes like recruitment, onboarding, feedback, personal development, performance review and internal communication.
We believe in flexible working hours to accommodate your working style.
We work virtual-first with several Bloomreach Hubs available across three continents.
We organize company events to experience the global spirit of the company and get excited about what's ahead.
We encourage and support our employees to engage in volunteering activities - every Bloomreacher can take 5 paid days off to volunteer*.
The Bloomreach Glassdoor page elaborates on our stellar 4.4/5 rating. The Bloomreach Comparably page Culture score is even higher at 4.9/5

Personal Development:

We have a People Development Program -- participating in personal development workshops on various topics run by experts from inside the company. We are continuously developing & updating competency maps for select functions.
Our resident communication coach Ivo Večeřa is available to help navigate work-related communications & decision-making challenges.*
Our managers are strongly encouraged to participate in the Leader Development Program to develop in the areas we consider essential for any leader. The program includes regular comprehensive feedback, consultations with a coach and follow-up check-ins.
Bloomreachers utilize the $1,500 professional education budget on an annual basis to purchase education products (books, courses, certifications, etc.)*

Well-being:

The Employee Assistance Program -- with counselors -- is available for non-work-related challenges.*
Subscription to Calm - sleep and meditation app.*
We organize ‘DisConnect’ days where Bloomreachers globally enjoy one additional day off each quarter, allowing us to unwind together and focus on activities away from the screen with our loved ones.
We facilitate sports, yoga, and meditation opportunities for each other.
Extended parental leave up to 26 calendar weeks for Primary Caregivers.*

Compensation:

Restricted Stock Units or Stock Options are granted depending on a team member’s role, seniority, and location.*
Everyone gets to participate in the company's success through the company performance bonus.*
We offer an employee referral bonus of up to $3,000 paid out immediately after the new hire starts.
We reward & celebrate work anniversaries -- Bloomversaries!*

(*Subject to employment type. Interns are exempt from marked benefits, usually for the first 6 months.)

Excited? Join us and transform the future of commerce experiences!

If this position doesn't suit you, but you know someone who might be a great fit, share it - we will be very grateful!

Any unsolicited resumes/candidate profiles submitted through our website or to personal email accounts of employees of Bloomreach are considered property of Bloomreach and are not subject to payment of agency fees.

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