Bloomreach
Senior Machine Learning Engineer / Data Scientist
Rol remoto de Machine Learning Engineering con fit claro de ubicación del candidato.
Publicado16 jun 2026
Países elegibles37 países aceptados
Señal de senioritySenior
Modelo de trabajoRemoto
Ubicaciones aceptadas para candidatos
Resumen del rol
Senior Machine Learning Engineer / Data Scientist
Requisitos y responsabilidades
Contenido del rol extraído en secciones para revisar más rápido.
Details
- 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.
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.
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!*
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