Senior Machine Learning Engineer

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

📋 Description

• Design, construct, and manage machine learning components in the search serving framework while adhering to strict latency requirements.

• Develop query-time machine learning models that assist in understanding and processing each search query.

• Create and expand machine learning and large language model data pipelines across extensive product catalogs, prioritizing cost-efficiency and data freshness.

• Optimize models for various merchants, sectors, and languages.

• Establish and enhance online features and model serving infrastructure.

• Implement offline evaluations and safe rollouts for production models, including creating baselines, conducting A/B tests, setting up fallbacks, and tracking latency and costs.

• Enhance the observability and diagnostic capabilities of machine learning systems in a production environment.

• Collaborate with Search Quality engineers to deploy models in production while meeting latency and cost specifications.

• Contribute to the technical design process and influence cross-team decisions.

⛳️ Requirements

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

• Solid mathematical foundation.

• Proficient programming skills in Python.

• Experience with a backend programming language such as Go or Java.

• Over 5 years of experience in developing ML-driven systems in production environments.

• Strong software engineering capabilities.

• Practical experience in serving machine learning models and large language models in scalable cloud environments (AWS/GCP) with stringent latency and cost constraints.

• Experience in building extensive data and machine learning pipelines.

• Robust problem-solving and analytical abilities.

• Experience collaborating across various customers, domains, or languages.

• Familiarity with search concepts, including query understanding, ranking, autosuggest, or faceting.

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

🏝️ Benefits

• A significant degree of autonomy and trust, free from strict clock-in/out policies, corporate regulations, or lengthy approval processes.

• Flexible working hours.

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

• Company-sponsored events.

• 5 paid days off dedicated to volunteering.

• People Development Program featuring personal development workshops.

• Access to communication coaching for work-related interactions and decision-making.

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

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

• Employee Assistance Program offering counselors.

• Subscription to the Calm sleep and meditation app.

• 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 the role, seniority, and location.

• Company performance bonus.

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

• Rewards and celebrations for work anniversaries.