Senior Machine Learning Engineer Full Time

Description:

• Bloomreach is the world’s #1 Commerce Experience Cloud, empowering brands to deliver customer journeys so personalized, they feel like magic.
• It offers a suite of products that drive true personalization and digital commerce growth, including:
  • Discovery, offering AI-driven search and merchandising
  • Content, offering a headless CMS
  • Engagement, offering a leading CDP and marketing automation solutions
• Together, these solutions combine the power of unified customer and product data with the speed and scale of AI optimization, enabling revenue-driving digital commerce experiences that convert on any channel and every journey.
• Bloomreach serves over 850 global brands including Albertsons, Bosch, Puma, FC Bayern München, and Marks & Spencer.
• Bloomreach recently raised $175 million in a Series F funding round, bringing its total valuation to $2.2 billion.
• The investment was led by Goldman Sachs Asset Management with participation from Bain Capital Ventures and Sixth Street Growth.
• For more information, visit Bloomreach.com.
• 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.

Requirements:

• 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:

• 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.
• Flexible working hours to accommodate your working style.
• Remote-first with several Bloomreach Hubs available across three continents.
• Company events to experience the global spirit of the company.
• Volunteering activities – every Bloomreacher can take 5 paid days off to volunteer.
• People Development Program and professional education budget of $1,500 annually.
• Employee Assistance Program with counselors.
• Subscription to Calm – sleep and meditation app.
• Extended parental leave up to 26 calendar weeks for Primary Caregivers.
• Restricted Stock Units or Stock Options are granted depending on a team member’s role, seniority, and location.
• Participation in the company’s success through the company performance bonus.
• Employee referral bonus of up to $3,000 paid out immediately after the new hire starts.
• Bloomversaries to celebrate work anniversaries.