Senior Software Engineer, Machine Learning

Summary

Join SMASH, a tech talent agency connecting professionals in Costa Rica and Colombia with US companies. We prioritize long-term relationships and cultural fit, aiming for perfect matches between talent and clients. This remote position offers the opportunity to build training/labeling tooling and infrastructure, support data labeling efforts, and develop ML model architectures. We offer various benefits including private medical insurance, an English academy, business skills coaching, tech university discounts, and events. This remote role requires 3+ years of experience in ML, a bachelor's degree in a related field, and experience with Pytorch or Tensorflow. Candidates should have a proven track record of improving deep learning pipelines and a commitment to building user-friendly tools.

Requirements

• 3+ years of experience (either in academia or industry)
• Bachelor's degree or above in computer science, mathematics, or a related discipline
• Experience with frameworks like Pytorch or Tensorflow
• You have taken the initiative to improve some or all of a deep learning pipeline in the past: dataset construction & curation, model design & iteration, and/or validation design & implementation. You have rethought approaches, earned approval, and taken action
• You enjoy building tooling people actually use and like to help people use those tools with helpful documentation and other assistance
• You value humility and seek out course-correcting information, whether that be unexpected learning behavior detected with experiments/visualizations, or domain-specific considerations that the experts we work with know
• You seek out promising new developments in ML but prudently judge long-term cost/benefit tradeoffs before implementing sweeping changes

Responsibilities

• Build training/labeling tooling and infrastructure
• Support data labeling/training/deployment efforts
• Develop domain-adapted model architectures/hyperparameters
• Explore new ML approaches to business problems/opportunities

Benefits

• Work from everywhere
• Private Medical Insurance
• English Academy for Employees and Relative
• Business Skills Coach – Certifications
• Discounts with Tech Universities
• Events and additional Perks