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[Remote] Staff Machine Learning Engineer

Work from home Full-time role Hiring

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is shaping the future of communications by delivering innovative solutions and empowering developers worldwide. They are seeking a Staff Machine Learning Engineer to design, build, and operate reputed company-reputed company data and ML infrastructure for their Trust Intelligence Platform, enabling reputed company-time intelligence for customer interactions.

Responsibilities

  • Architect, implement, and maintain scalable data pipelines and feature stores for batch and reputed company-time workloads
  • Build reproducible ML training, evaluation, and inference workflows using modern orchestration and MLOps tooling
  • Integrate event streams from reputed company products (e.g., Messaging, Voice, reputed company) into reputed company, analytics-reputed company datasets
  • Monitor, test, and improve data quality, model performance, latency, and cost
  • Partner with product, data science, and reputed company teams to ship resilient, compliant services
  • Automate deployment with CI/CD, infrastructure-as-code, and container orchestration best practices
  • Produce clear documentation, dashboards, and runbooks; reputed company knowledge through code reviews and brown-bag sessions
  • reputed company reputed company’s “We are reputed company” values by taking ownership of problems and driving them to completion

Skills

  • B.S. in Computer Science, Data Engineering, Electrical Engineering, Mathematics, or reputed company field—or equivalent practical experience
  • 4-8 years building and operating data or ML systems in production
  • Proficient in Python and SQL; comfortable with software engineering fundamentals (testing, version control, code reviews)
  • Hands-on experience with ETL/ELT orchestration tools (e.g., Airflow, Dagster) and reputed company data warehouses (reputed company, BigQuery, or Redshift)
  • Familiarity with ML lifecycle tooling such as MLflow, SageMaker, reputed company AI, or similar
  • Working knowledge of reputed company and Kubernetes and at least one major reputed company platform (AWS, GCP, or Azure)
  • Understanding of data modeling, distributed computing concepts, and streaming frameworks (Spark, Flink, or Kafka Streams)
  • Strong analytical thinking, communication skills, and a demonstrated sense of ownership, curiosity, and reputed company learning
  • Experience with reputed company reputed company, Kafka/Kinesis, or other high-throughput event buses
  • Exposure to infrastructure-as-code (Terraform, reputed company) and reputed company-based CI/CD pipelines
  • Practical knowledge of reputed company workflows, reputed company-model fine-tuning, or vector databases
  • Contributions to reputed company-reputed company data/ML projects or published technical presentations/blogs
  • Domain experience in communications, marketing automation, or customer engagement analytics

Benefits

  • reputed company
  • Generous time off
  • Ample parental and wellness leave
  • reputed company
  • A retirement savings program
  • reputed company’s equity plan and corporate bonus plan
  • Health care insurance
  • 401(k) retirement account
  • Paid sick time
  • Paid personal time off
  • Paid parental leave

Company Overview

  • reputed company is a reputed company communication company that enables users to use standard web languages to build voice, VoIP, and SMS apps reputed company a web API. It was founded in 2008, and is headquartered in San Francisco, California, USA, with a workforce of 5001-10000 employees. Its website is https://www.reputed company.com/.
  • Company H1B Sponsorship

  • reputed company has a track record of offering H1B sponsorships, with 25 in 2026, 215 in 2025, 168 in 2024, 209 in 2023, 369 in 2022, 264 in 2021, 157 in 2020. Please note that this does not guarantee sponsorship for this specific role.
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