Assembled · 7 hours ago
Machine Learning Engineer - Forecasting & Scheduling
Assembled is a unified platform that balances human agents and AI for customer support, used by companies like Canva and Etsy. The Machine Learning Engineer will lead the development of ML features for forecasting and scheduling, collaborating with product and design teams to create effective solutions.
Customer ServiceInformation TechnologySchedulingSoftware
Responsibilities
Lead the architecture and delivery of new ML features end-to-end: research → prototype → production
Drive technical roadmaps, code reviews and design sessions to share your knowledge with the rest of the team
Mentor engineers, unblock thorny problems and act as subject-matter expert for data science topics
Collaborate with Product and Design to turn unclear customer problems into shippable solutions
Qualification
Required
5+ years shipping production time-series forecasts or similar ML systems
Proficient in a typed backend language (Go, Java or Rust) and comfortable with Python for research
Experience owning services in AWS or similar cloud
Demonstrated technical leadership: design docs, trade-off decisions, mentoring, incident ownership
Product mindset: ability to balance model accuracy, latency, cost and user experience
Preferred
Prior work on large-scale scheduling or optimization problems (e.g. nurse-rostering)
Exposure to Kubernetes, Terraform or CDK
Front-end empathy; willing to tweak a React component when needed
Benefits
Generous medical, dental, and vision plans.
Paid company holidays, sick time, and unlimited time off.
Monthly credits to spend on professional development, general wellness, Assembled customers, and commuting.
Paid parental leave.
Hybrid work model with catered lunches everyday (M-F), snacks, and beverages in our SF & NY offices.
401(k) plan enrollment.
Company
Assembled
Assembled is a workforce management platform that helps modern organizations scale customer support teams.
H1B Sponsorship
Assembled 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 (4)
2024 (4)
2023 (4)
2022 (2)
2021 (1)
Funding
Current Stage
Growth StageTotal Funding
$70.7MKey Investors
New Enterprise AssociatesEmergence CapitalStripe
2022-05-26Series B· $51M
2021-03-11Series A· $16.6M
2020-03-11Seed· $3.1M
Recent News
2025-08-27
Talk Business & Politics
2024-05-20
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