Staff Machine Learning Engineer

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

— so that personalization isn't 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 Staff Machine Learning Engineer to join our Search Quality team and lead the design and implementation of machine learning and Al-driven solutions that improve search relevance and discovery experiences for our customers. The Search Quality team focuses on building intelligent, scalable solutions that understand user queries, product catalogs, and behavioral signals to deliver the most relevant search results. We work at the intersection of Machine Learning, Information Retrieval, Search Relevance, and Software Engineering to solve challenging problems across the search stack. This is a Staff ML Engineer role, so we are looking for someone who can combine strong ML expertise with solid software engineering skills and take end-to-end ownership of complex technical problems. You will work closely with engineers, architects, and product teams to research, build, evaluate, and productionize ML-driven solutions for search.

Your Responsibilities

• Own the technical roadmap and provide architecture leadership for ML and AI-driven relevance solutions.
• Design, develop, and enhance ML/AI models and algorithms for Search and Relevance.
• Own model evaluation and experimentation frameworks to ensure high-quality deployments.
• Work with search queries, product catalogs, user behavior, and other data to identify patterns and improve search quality.
• Work closely with software and data engineers to integrate and scale ML components into production systems.
• Analyze search and relevance data to identify problems and drive improvements.
• Mentor engineers and influence cross-team decisions to align engineering and product goals.
• Stay up to date with developments in Machine Learning, Information Retrieval, and Generative AI.

Qualifications

• BE/B.Tech/ME/M.Tech in Computer Science or a related discipline, with a strong mathematical foundation and excellent programming skills, primarily Python, alongside proficiency in a backend language such as Java or Go.
• 8+ years of experience building ML-driven systems and algorithms in production.
• Strong software engineering skills, with experience building low-latency, scalable distributed systems in a cloud production environment (AWS/GCP/Azure).
• Strong background in Search, Information Retrieval, Ranking, or Search Relevance, working with large-scale data and ML systems.
• Hands-on experience applying LLMs to Search/ML problems, including quality, latency, and cost trade-offs.
• Experience working across multiple merchants, domains, and languages.
• Strong background in NLP and Search Quality techniques, including intent identification, query understanding, data analysis, and domain-specific ML model tuning.
• Relevant search retrieval experience in at least area: RAG, lexical search, vector search, or recommendation systems.
• Experience with deep learning frameworks such as PyTorch or TensorFlow.
• Strong problem-solving and analytical skills.
• Effective communication skills in English, both verbal and written.

Preferred Qualifications

• Prior experience building or working with LLM evaluation frameworks.
• Hands-on experience implementing hybrid search architectures.

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. 

We have defined our https://www.bloomreach.com/en/careers?utm_source=Job-Description-Footer&utm_medium=Job-Description&utm_content=Hyperlink-1 5 values and the 10 underlying key behaviors that we strongly believe in. We can succeed if everyone lives these behaviors day to day. We've embedded them in our processes like recruitment,, 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 https://www.glassdoor.com/Overview/Working-at-Bloomreach-EI_IE442167.11,21.htm Bloomreach Glassdoor page elaborates on our stellar 4.7/5 rating. The https://www.comparably.com/companies/bloomreach 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 https://www.linkedin.com/in/ivo-ve%C4%8De%C5%99a-2a94291/ 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 additional day off each quarter, allowing us to unwind together and focus on activities away from the screen with our loved.

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!

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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