Scribd, Inc. · 11 hours ago
Senior Machine Learning Engineer (Recommendations)
New York, NY
Full-time
Hybrid
Mid, Senior Level
$158K/yr - $230K/yr
4+ years expScribd Inc. is dedicated to sparking human curiosity and empowering collective expertise through its diverse range of products. They are seeking a Senior Machine Learning Engineer to design, build, and optimize ML systems that scale to millions of users, focusing on delivering next-generation AI features and enhancing user experiences.
AudiobooksBooksEBooksFile SharingNewsPodcastPublishing
Responsibilities
Collaborate with engineering and analytics teams to build large-scale ingestion, transformation, and validation pipelines on Databricks
Train, evaluate, and deploy ML models (including generative models) to production using Scribd’s internal platform and industry-standard frameworks
Design and run A/B and N-way experiments to measure the impact of model and feature changes
Partner with product managers, data scientists, and analysts to identify opportunities, define requirements, and deliver solutions that solve real user problems
Qualification
Required
4+ years of experience as a professional ML or software engineer, with a proven track record of delivering production ML systems at scale
Proficiency in at least one key programming language (preferably Python or Golang; Scala or Ruby also considered)
Expertise in designing and architecting large-scale ML pipelines and distributed systems
Deep experience with distributed data processing frameworks (Spark, Databricks, or similar)
Strong cloud expertise (AWS, Azure, or GCP) and experience with deployment platforms (ECS, EKS, Lambda)
Proven ability to optimize system performance and make informed trade-offs in ML model and system design
Experience leading technical projects and mentoring engineers
Bachelor's or Master's degree in Computer Science or equivalent professional experience
Preferred
Experience with embedding-based retrieval, large language models, advanced recommendation or ranking systems
Expertise in experimentation design, causal inference, or ML evaluation methodologies
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
TechCrunch
2025-12-11
2025-10-21
Company data provided by crunchbase