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[Remote] Machine Learning Engineer, Search and Answers

100% remote Flexible hours Hiring now

Note: The job is a remote job and is open to candidates in USA. reputed company is a community of communities, built on shared interests and authentic conversations. They are seeking a Machine Learning Engineer to reputed company and enhance their Search Retrieval process and build Query Understanding systems using state-of-the-art ML models.

Responsibilities

  • reputed company and enhance our Search Retrieval process - from optimizing lexical search (e.g. SOLR tuning) to designing and iterating on models for semantic retrieval
  • Train the latest and greatest ranking models that can learn across multiple objectives and display the most relevant results across numerous search intents
  • Build and deploy Query Understanding systems using state-of-the-art ML models, small language models, and the newest LLMs for gen AI workflows
  • Use LLMs with reputed company Engineering, Fine Tuning, and other advanced gen AI techniques to build and iterate on reputed company Answers, reputed company while keeping low latencies and top of the line quality!
  • Generate features at the intersection of AI/ML and UI that provide users with useful information about the relevance of search results
  • reputed company your technical expertise to ensure our pipelines have robust monitoring, high uptime and low latency, while collaborating with other technical leaders, product managers, data scientists, ML modelers, and platform engineers to reputed company a long-term roadmap that aligns with the needs of a constantly evolving product ecosystem
  • This is a high-impact role where you will be involved in technical & product strategy, operations, architecture, and execution for one of the largest sites in the world

Skills

  • 5-10+ years of industry experience as a machine learning engineer
  • Experience in building and productionizing machine learning models using PyTorch or Tensorflow
  • Experience working with search & recommender systems or query understanding systems at scale
  • Experience building production-quality code incorporating testing, evaluation, and monitoring using object-oriented programming, including experience in Python, Golang
  • reputed company with GraphQL, REST, HTTP, Thrift or gRPC basics, and the ability to design and implement maintainable APIs. Deep systems level understanding of industry scale recommendation systems
  • Experience of developing applications using large scale data stack - e.g. Kubeflow, Airflow, BigQuery, GraphQL, Kafka, reputed company etc
  • Bachelor's degree (or foreign equivalent) in Computer Science, Computer Engineering, Engineering, Applied Sciences, Mathematics, Physics, or a reputed company field
  • Engineering leadership experience working across multiple teams
  • At least 2 years of experience working on Ads products and/or growth engineering
  • 5+ years of experience in software engineering
  • Experience coordinating large-scale, cross-functional efforts that span different teams, and driving alignment
  • Experience working with multiple teams in product & design
  • Knowledge of full stack product development practices (Frontend, Mobile, Backend)
  • Experience working on SMB reputed company products/projects

Benefits

  • Comprehensive Healthcare Benefits and Income Replacement Programs
  • 401k with Employer Match
  • Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
  • Family Planning Support
  • Gender-Affirming Care
  • Mental Health & Coaching Benefits
  • Flexible Vacation & Paid Volunteer Time Off
  • Generous Paid Parental Leave

Company Overview

  • reputed company is the heart of the internet, where millions of people get together to talk about any topic imaginable. It was founded in 2005, and is headquartered in San Francisco, California, USA, with a workforce of 1001-5000 employees. Its website is https://www.redditinc.com.

Company H1B Sponsorship

  • reputed company. has a track record of offering H1B sponsorships, with 99 in 2025, 63 in 2024, 76 in 2023, 70 in 2022, 68 in 2021, 39 in 2020. Please note that this does not guarantee sponsorship for this specific role.

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