Staff Machine Learning Engineer

This is a fully remote position, open to applicants in India.

📋 Description

• Lead the design and execution of machine learning and AI-driven solutions that enhance search relevance and discovery experiences.

• Take ownership of the technical roadmap and provide architectural guidance for ML and AI-driven relevance solutions.

• Design, develop, and refine ML/AI models and algorithms focused on Search and Relevance.

• Manage model evaluation and experimentation frameworks to guarantee high-quality deployments.

• Analyze search queries, product catalogs, user behavior, and additional data to uncover patterns and enhance search quality.

• Collaborate with software and data engineers to integrate and scale ML components within production systems.

• Examine search and relevance data to pinpoint issues and drive improvements.

• Mentor engineers and influence decisions across teams to align engineering with product objectives.

• Stay updated on advancements in Machine Learning, Information Retrieval, and Generative AI.

• Research, construct, assess, and productionize ML-driven solutions for search.

⛳️ Requirements

• BE/B.Tech/ME/M.Tech in Computer Science or a related field.

• Strong mathematical foundation coupled with excellent programming abilities.

• Proficient in Python, along with expertise in a backend language such as Java or Go.

• Over 8 years of experience in developing ML-driven systems and algorithms in a production environment.

• Solid software engineering skills.

• Experience in creating low-latency, scalable distributed systems in a cloud production setting (AWS/GCP/Azure).

• Strong background in Search, Information Retrieval, Ranking, or Search Relevance.

• Experience handling large-scale data and ML systems.

• Practical experience applying LLMs to Search/ML challenges, including considerations of quality, latency, and cost trade-offs.

• Experience working across various merchants, domains, and languages.

• Strong foundation 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 one area: RAG, lexical search, vector search, or recommendation systems.

• Familiarity with deep learning frameworks such as PyTorch or TensorFlow.

• Strong problem-solving and analytical capabilities.

• Effective communication skills in English, both spoken and written.

• Previous experience in building or working with LLM evaluation frameworks (preferred).

• Hands-on experience in implementing hybrid search architectures (preferred).

🏝️ Benefits

• Flexible working hours.

• Virtual-first work model with Bloomreach Hubs across three continents.

• Company events.

• 5 paid days off for volunteering.

• People Development Program and personal development workshops.

• Support from a communication coach.

• Leader Development Program that includes feedback, coaching, and follow-up check-ins.

• $1,500 annual budget for professional education, including books, courses, certifications, etc.

• Employee Assistance Program offering access to counselors.

• Calm subscription.

• An additional DisConnect day off each quarter.

• Opportunities for sports, yoga, and meditation.

• Extended parental leave of up to 26 calendar weeks for Primary Caregivers.

• Restricted Stock Units or Stock Options, depending on role, seniority, and location.

• Company performance bonus.

• Employee referral bonus of up to $3,000.

• Rewards and celebrations for work anniversaries.