Lead AI Software Engineer
At Klaviyo, we value the unique backgrounds, experiences and perspectives each Klaviyo (we call ourselves Klaviyos) brings to our workplace each and every day. We believe everyone deserves a fair shot at success and appreciate the experiences each person brings beyond the traditional job requirements.
What this role actually needs.
At Klaviyo, we value the unique backgrounds, experiences and perspectives each Klaviyo (we call ourselves Klaviyos) brings to our workplace each and every day. We believe everyone deserves a fair shot at success and appreciate the experiences each person brings beyond the traditional job requirements. Requirements: - 7–10 years of experience in machine learning engineering or applied software engineering , with a focus on classical ML and predictive modeling . - Deep understanding of supervised learning methods such as random forests, XGBoost, logistic regression, and ensemble techniques. - Proven track record of building and scaling production-grade ML systems end to end (data pipelines, training, deployment, and monitoring). - Experienced backend engineer comfortable with distributed systems and high-scale architectures . - Proficient in Python and modern frameworks (FastAPI, Django preferred). - Skilled with big data and streaming technologies (Apache Spark, Kafka, Hadoop). Company context: Klaviyo is the public marketing automation and CDP company powering email, SMS, and AI personalization for ecommerce.
What a strong candidate brings
These requirements are extracted from the source listing and normalized for UpJobz readers.
- 7–10 years of experience in machine learning engineering or applied software engineering , with a focus on classical ML and predictive modeling .
- Deep understanding of supervised learning methods such as random forests, XGBoost, logistic regression, and ensemble techniques.
- Proven track record of building and scaling production-grade ML systems end to end (data pipelines, training, deployment, and monitoring).
- Experienced backend engineer comfortable with distributed systems and high-scale architectures .
- Proficient in Python and modern frameworks (FastAPI, Django preferred).
- Skilled with big data and streaming technologies (Apache Spark, Kafka, Hadoop).
Why this listing is more than a copied job post.
Lead AI Software Engineer is framed against UpJobz source checks, country scope, compensation visibility, and work-authorization signals so candidates can make a faster go/no-go decision.
United States tech market
United States roles on UpJobz are filtered for high-tech relevance, source freshness, and actionable employer detail before they are allowed into SEO surfaces.
Compensation read
The employer source does not expose a reliable salary range, so candidates should ask for compensation early instead of waiting until late-stage interviews.
Work authorization read
Current extracted signal: Open to TN, H-1B, and OPT candidates already in the United States. UpJobz treats this as a search signal, not legal advice, and links visa-sensitive roles back to the relevant visa hub where possible.
Location read
On-site roles in Boston should be compared against commute, local salary bands, and nearby employer demand.
Browse similar jobs
Turn this listing into an application plan.
This is the first pass at the premium UpJobz layer: a fast brief that helps serious applicants move with more clarity.
Next moves
- Tailor your resume around ai and llm instead of sending a generic application.
- Use the first two bullets of your application to connect your background directly to lead ai software engineer is a high-signal on-site role in boston, and it is most realistic for open to tn, h-1b, and opt candidates already in the united states.
- Open the role quickly if it fits and bookmark three similar jobs before you leave the page.
Interview themes
Watchouts
- Compensation is hidden, so get range clarity in the first recruiter conversation.
- Use open to tn, h-1b, and opt candidates already in the united states as part of your positioning so the recruiter does not have to infer it.
- Show concrete examples of succeeding in on-site environments.
Keywords to match against your background
Use these terms to decide whether your resume, portfolio, and recent projects line up with the role.
Apply through the employer source
Open the source listing from klaviyo.com, confirm the role is still active, then apply on the employer or ATS page.
Source: klaviyo.com · Source ID: 7453464003 · Confidence: 88/100 · Last checked: May 7, 2026
How UpJobz verifies job sourcesContinue browsing tech jobs