Sr. Machine Learning Engineer

About the role

Pattern accelerates brands on global ecommerce marketplaces using proprietary technology and AI, leveraging more than 66 trillion data points and sophisticated machine‑learning models to optimize advertising, content management, logistics and fulfillment, pricing, forecasting, and customer service. Hundreds of global brands rely on Pattern’s ecommerce acceleration platform across 60+ marketplaces including Amazon, Walmart.com, Target.com, eBay, Tmall, TikTok Shop, JD, and Mercado Libre. Recognized as one of the fastest‑growing tech companies headquartered in North America by Deloitte, one of the best‑led companies by Inc., and a Newsweek Global Most Loved Workplace®, Pattern seeks a Senior Machine Learning Engineer to own evaluation systems and model‑side quality improvements for its generative content platform, which produces AI‑generated titles, bullets, A+ modules, and imagery for hundreds of thousands of listings.

Responsibilities

• Build and maintain datasets, rubrics, and automated judges that evaluate the efficacy of changes to the content engine.
• Convert brand rejection reasons into structured, labeled training data that feeds the next round of model improvements.
• Find ways to quantify qualitative improvements to generated content.
• Decide and defend approval thresholds for generated content in partnership with data science and brand teams.
• Build quality gates that catch problematic outputs before they reach brand review, reducing rework cycles across the pipeline.
• Complete onboarding, get up to speed on the generative content pipeline and existing evaluation datasets and rubrics, and make initial contributions to an existing regression suite (30‑day goal).
• Own a defined slice of the evaluation system end to end (e.g., judges and thresholds for a specific content type) and begin converting brand rejection reasons into labeled training data (60‑day goal).
• Independently drive a fine‑tuning or retrieval experiment from hypothesis to validated result, with at least one quality gate live in production catching issues before brand review (90‑day goal).

Requirements

• Strong code and system design experience in any language or stack.
• 3+ years owning production software services end to end.
• Formal statistics or machine learning training, or a defensible equivalent depth built on the job.
• Experience engineering systems with non‑deterministic outputs, where correctness must be measured rather than assumed.

Qualifications

• Fine‑tuning experience (LoRA/PEFT).
• Hands‑on LLM or generative media production work.
• Evaluation‑system ownership.
• Multimodal evaluation.
• E‑commerce domain knowledge.
• Human‑labeling operations.
• A/B testing infrastructure.

Skills

• Game changer: open‑minded problem solving, realistic goal‑setting, innovative contributions, and active pursuit of process improvements.
• Data fanatic: uses data to understand problems, draws unbiased conclusions, and tracks the impact of solutions.
• Partner obsessed: clearly communicates status, listens to partner expectations, delivers results that exceed them, and prioritizes partner needs.
• Team of doers: uplifts teammates, takes initiative, supports improvements, and holds oneself accountable to the team and partners.

Benefits

• Unlimited PTO
• Paid holidays