Scribd, Inc. · 2 hours ago
Machine Learning Engineer
Boston, MA
Full-time
Hybrid
Mid Level
$126K/yr - $196K/yr
3+ years expScribd Inc. is a company dedicated to sparking human curiosity through its innovative products. They are seeking a Machine Learning Engineer II to design, build, and optimize high-impact ML systems that serve millions of users in near real-time, focusing on core ML platform improvements and user-facing feature integrations.
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Responsibilities
Design, build, and optimize ML pipelines, including data ingestion, feature engineering, training, and deployment for large-scale, real-time systems
Improve and extend core ML Platform capabilities such as the feature store, model registry, and embedding-based retrieval services
Collaborate with product software engineers to integrate ML models into user-facing features like recommendations, personalization, and AskAI
Conduct model experimentation, A/B testing, and performance analysis to guide production deployment
Optimize and refactor existing systems for performance, scalability, and reliability
Ensure data accuracy, integrity, and quality through automated validation and monitoring
Participate in code reviews and uphold engineering best practices
Manage and maintain ML infrastructure in cloud environments, including deployment pipelines, security, and monitoring
Qualification
Required
3+ years of experience as a professional software or machine learning engineer
Proficiency in at least one key programming language (preferably Python or Golang; Scala or Ruby also considered)
Hands-on experience building ML pipelines and working with distributed data processing frameworks like Apache Spark, Databricks, or similar
Experience working with systems at scale and deploying to production environments
Cloud experience (AWS, Azure, or GCP), including building, deploying, and optimizing solutions with ECS, EKS, or AWS Lambda
Strong understanding of ML model trade-offs, scaling considerations, and performance optimization
Bachelor's in Computer Science or equivalent professional experience
Preferred
Experience with embedding-based retrieval, recommendation systems, ranking models, or large language model integration
Experience with feature stores, model serving & monitoring platforms, and experimentation systems
Familiarity with large-scale system design for ML
Benefits
Healthcare Insurance Coverage (Medical/Dental/Vision): 100% paid for employees
12 weeks paid parental leave
Short-term/long-term disability plans
401k/RSP matching
Onboarding stipend for home office peripherals + accessories
Learning & Development allowance
Learning & Development programs
Quarterly stipend for Wellness, WiFi, etc.
Mental Health support & resources
Free subscription to the Scribd Inc. suite of products
Referral Bonuses
Book Benefit
Sabbaticals
Company-wide events
Team engagement budgets
Vacation & Personal Days
Paid Holidays (+ winter break)
Flexible Sick Time
Volunteer Day
Company-wide Employee Resource Groups and programs that foster an inclusive and diverse workplace.
Access to AI Tools: We provide free access to best-in-class AI tools, empowering you to boost productivity, streamline workflows, and accelerate bold innovation.
Company
Scribd, Inc.
We're on a mission to spark human curiosity.
201-500 employees
H1B Sponsorship
Scribd, Inc. has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (5)
2024 (2)
2023 (8)
2022 (3)
2021 (12)
2020 (15)
Funding
Current Stage
Late StageTotal Funding
$106.75MKey Investors
Spectrum EquityKhosla VenturesCRV
2019-11-25Series E· $58M
2015-01-02Series D· $23M
2011-01-18Series C· $12M
Leadership Team
Tony Grimminck
Chief Executive Officer
Adrian Lienhard
VP, Infrastructure Engineering
Recent News
2026-01-05
TechCrunch
2025-12-11
Company data provided by crunchbase