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As a Software Engineer at Nex, you will contribute to building the technical foundations that power our platform's most demanding capabilities. In the ML Engineering track, you will build the infrastructure that accelerates machine learning research: training pipelines, data workflows, model integration systems, and the tools that enable rapid experimentation. Your work ensures researchers can iterate reliably and move experiments toward production readiness.
The role offers the opportunity to work on deeply technical problems in machine learning systems, data infrastructure, sensing technologies, and real-time inference. You will be part of a small, highly technical team that values both specialization and collaboration, with clear ownership of core technology areas.
You are drawn to solving complex technical challenges at the intersection of research and production engineering. You care deeply about building systems that are reliable, performant, and maintainable. You thrive in environments where technical depth matters, where your expertise in ML systems, distributed computing, or real-time software directly shapes what the platform can do.
Design and build training pipelines, data workflows, and model integration systems
Develop infrastructure that accelerates research iteration and reduces turnaround time
Build systems for data collection, curation, and preprocessing at scale
Create tools and automation that move experiments toward production readiness
Optimize data pipelines for reliability, performance, and observability
Collaborate with ML researchers to understand their needs and remove technical blockers
Work on model serving infrastructure and integration with the production framework
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San Jose, USA
San Jose, USA
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San Jose, USA
San Jose, USA
San Jose, USA
San Jose, USA
San Jose, USA
San Jose, USA
Write clean, well-tested code that maintains high engineering standards
Participate in code reviews and help raise the engineering bar across the team
Contribute to shared tools, infrastructure, and cross-role projects (20% Time)
Work with the dual-leadership model (Engineering Manager and Tech Lead) to understand priorities and technical direction
Document systems and decisions to support team knowledge sharing
Experience with distributed training systems or GPU-accelerated computing
Knowledge of data versioning, experiment tracking, or ML metadata management
Familiarity with containerization (Docker) and orchestration tools
Contributions to open-source ML projects or research publications
Experience working in small, high-performance technical teams
Background in startups, high-growth environments, or consumer product companies
Passion for pushing technical boundaries and deep problem-solving
Competitive compensation package.
Flexible working hours and vacation policy.
Product-driven culture that treasures talents and individual growth.
Front-row seat and hands-on experience with cutting edge technologies in the evolving gaming field
Nex is located in San Jose, California, USA and Hong Kong. Learn more about us at nex.inc/who-we-are. We encourage applications even if you don’t meet more than 50% of the requirements — we believe that experience comes in many forms!
Nex is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex (including pregnancy, childbirth, gender identity, and sexual orientation), national origin, ancestry, age, physical or mental disability, medical condition, genetic information, marital status, military or veteran status, or any other characteristic protected by applicable law. This policy applies to all individuals at every stage of the employment relationship, including all current and prospective employees, and covers all employment decisions including recruitment, hiring, job assignment, promotion, compensation, benefits, training, discipline and termination.
We are committed to providing a workplace free from discrimination and harassment and to fostering an inclusive environment for all employees.
Fitness technology company on a mission to reconnect people with the joy of movement through innovative interactive products.
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