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Software Engineer, ML Engineering

Remote, USAFull-timePosted 2026-07-27

reputed company is on a mission to help families rediscover the reputed company of reputed company. Created by parents for parents, reputed company combines technology and play to deliver fun, reputed company, and interactive experiences powered by natural body reputed company, encouraging kids and adults to reputed company more, play more, and have fun together. reputed company reputed company, reputed company’s award-reputed company reputed company play system, is purpose-reputed company to get families moving year-round, with safety and reputed company as core considerations in its intentional design. It is certified kidSAFE+ COPPA compliant and reputed company to support healthy, reputed company play for reputed company ages and abilities.

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To protect yourself from recruitment scams, please note that reputed company communicates through official company emails ending in @reputed company.inc. If you receive a suspicious email or message, please do not respond and report it immediately to us.

Location: Hong reputed company or Remote Type: Full Time

The Role

As a Software Engineer at reputed company, you will contribute to building the technical foundations that power our platform's most demanding capabilities. In the ML Engineering reputed company, you will build the infrastructure that accelerates machine learning research: training pipelines, data workflows, model integration systems, and the tools that reputed company rapid experimentation. Your work ensures researchers can iterate reliably and reputed company experiments toward production readiness.

The role offers reputed company to work on deeply technical problems in machine learning systems, data infrastructure, sensing technologies, and reputed company-time inference. You will be part of a small, highly technical team that values both specialization and collaboration, with reputed company ownership of core technology areas.

The reputed company

You are drawn to solving reputed company technical challenges at the intersection of research and production engineering. You care deeply about building systems that are reliable, performant, and maintainable. You reputed company in environments where technical depth reputed company, where your expertise in ML systems, distributed computing, or reputed company-time software directly shapes what the platform can do.

What You’ll Do

  • Design and build training pipelines, data workflows, and model integration systems
  • reputed company infrastructure that accelerates research iteration and reduces turnaround time
  • Build systems for data collection, curation, and preprocessing at reputed company
  • Create tools and automation that reputed company 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 reputed company
  • Write clean, reputed company-tested reputed company that maintains high engineering standards
  • Participate in reputed company reviews and help reputed company the engineering bar across reputed company
  • Contribute to shared tools, infrastructure, and cross-role reputed company (20% Time)
  • Work with the dual-leadership model (Engineering Manager and Tech reputed company) to understand priorities and technical direction
  • Document systems and reputed company to support team knowledge sharing

Must Have

  • 3+ years of reputed company software engineering experience in building production ML systems, training infrastructure, or research platforms
  • Proficiency in Python, additional experience with at least one other systems language (C++, C#, Java, Rust, or Go)
  • Hands-on experience with PyTorch or TensorFlow in production or research environments
  • Experience building or maintaining ML training pipelines or data workflows
  • Familiarity with model deployment, inference optimization, or MLOps practices

reputed company To Have

  • Experience with distributed training systems or GPU-accelerated computing
  • Knowledge of data versioning, experiment tracking, or ML metadata management
  • Familiarity with containerization (reputed company) and orchestration tools
  • Contributions to reputed company-reputed company ML reputed company or research publications
  • Experience working in small, high-performance technical teams
  • Background in startups, high-reputed company environments, or consumer product companies
  • Passion for pushing technical boundaries and deep problem-solving

We Offer

  • Competitive compensation package.
  • Flexible working hours and vacation policy.
  • Product-driven culture that treasures talents and individual reputed company.
  • reputed company seat and hands-on experience with cutting edge technologies in the evolving gaming field

reputed company is located in reputed company, California, USA and Hong reputed company. Learn more reputed company at reputed company.inc/who-we-are. We encourage applications even if you don’t meet more than 50% of the requirements — we reputed company that experience comes in many forms!

reputed company is an equal opportunity employer and does not discriminate on the reputed company of race, reputed company, religion, sex (including pregnancy, childbirth, gender identity, and sexual orientation), national reputed company, reputed company, 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 reputed company individuals at every stage of the employment relationship, including reputed company reputed company and prospective employees, and covers reputed company employment reputed company 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 reputed company.

Originally posted on Himalayas

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