Senior Machine Learning Engineer

Bloomreach is the world's #1 Commerce Experience Cloud, empowering brands to deliver customer journeys so personalized, they feel like magic.
Bratislava, Slovakia
$45,600
Machine Learning
Senior Software Engineer
Remote
501 - 1,000 Employees
5+ years of experience
AI · Enterprise SaaS · E-Commerce

Description For Senior Machine Learning Engineer

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 search, recommendation and behavioral insights that are used to personalize digital experiences for our customers. The salary starts at €3,800 gross per month, along with restricted stock units and other benefits. We are currently allowing flexibility for our employees to work from anywhere for the respective region (in this case CEE region) on a full-time basis.

Our centralized data science team spanned across multiple geographies, is responsible for the data science modules that power all the products of the company, including Search Relevance, Recommendation, User Personalization, User Segmentations, Content Intelligence and Conversational Commerce. We invent and apply machine learning, data mining, and information retrieval algorithms to understand, identify, and improve web content discovery. We have built industry leading algorithms in search and recommendations for the commerce space that serve the most relevant experiences using Artificial Intelligence with the goal-building AI driven experiences beyond commerce.

Responsibilities:

  • Design, develop, and enhance ML/AI models which mainly power Search and Recommendation.
  • Process historical data, search queries, product catalog, and images to extract hidden relations and features.
  • Conduct research to explore ongoing cutting-edge ML techniques (especially deep learning) and conduct a quick POC.
  • Work closely with Data Engineers and Senior Data Scientists 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)
  • 5-8 years 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 Redshift/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 skill in English, both verbally and in written form.

Benefits:

  • Great deal of freedom and trust with flexible working hours
  • Remote-first work environment with several Bloomreach Hubs available across three continents
  • Company events to experience the global spirit of the company
  • 5 paid days off for volunteering activities
  • People Development Program with personal development workshops
  • $1,500 professional education budget annually
  • Employee Assistance Program with counselors for non-work-related challenges
  • Subscription to Calm - sleep and meditation app
  • 'DisConnect' days - one additional day off each quarter
  • Extended parental leave up to 26 calendar weeks for Primary Caregivers
  • Restricted Stock Units or Stock Options
  • Company performance bonus
  • Employee referral bonus of up to $3,000
  • Work anniversary celebrations
Last updated 2 months ago

Responsibilities For Senior Machine Learning Engineer

  • Design, develop, and enhance ML/AI models for Search and Recommendation
  • Process historical data to extract hidden relations and features
  • Conduct research on cutting-edge ML techniques
  • Integrate and scale ML components to production-level
  • Stay up-to-date with state-of-the-art techniques

Requirements For Senior Machine Learning Engineer

Python
  • BS/MS degree in Computer Science or related discipline
  • 5-8 years experience building ML-driven algorithms
  • Strong understanding of machine learning and NLP technologies
  • Excellent exploratory data analysis skills with SQL
  • Experience with deep learning stack and techniques
  • Experience working with Big Data in cloud environments
  • Effective communication skills in English

Benefits For Senior Machine Learning Engineer

Equity
Medical Insurance
Mental Health Assistance
Parental Leave
Education Budget
  • Flexible working hours
  • Remote-first work environment
  • Company events
  • 5 paid volunteering days
  • Professional development programs
  • $1,500 annual education budget
  • Employee Assistance Program
  • Calm app subscription
  • Quarterly 'DisConnect' days off
  • Extended parental leave
  • Restricted Stock Units or Stock Options
  • Performance bonus
  • Referral bonus

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