Software Engineer

3 days ago

Ho Chi Minh City, Vietnam Plume Full time

**Life at Plume**

At Plume, we believe that technology isn't about moving faster, it's about making life's moments better. Which is why we've built the world's first, and only, open and hardware-independent service delivery platform for smart homes, small businesses, enterprises, and beyond. Our SaaS platform uses WiFi, advanced AI, and machine learning to create the future of connected spaces—and human experiences—at massive scale.

We now deliver services to over 40 million locations globally and have managed over 2 billion devices on our platform. We're expanding rapidly, pioneering a new category, and we achieved our Series F funding in just four years. Our customers include many of the world's largest Communications Service Providers (CSPs) who look to Plume to help them evolve their smart home offerings while gleaning insights from their own data.

With a bias for action and a love for being trailblazers, the team at Plume embodies a combination of relentless curiosity and imaginative innovation. We challenge ourselves to think in ways that other companies don't, work to do what should be done (rather than what can), and if we can't do it exceptionally well, we don't do it. It's how we've assembled a team of world-class builders, thinkers, and doers. And it's how we're reinventing what's possible every day.

Plume's Data Services team is looking for bright and ambitious ML Infrastructure Engineers to continue delivering industry-leading innovation at a rapid pace. Due to the massive scale requirements of our platform, you will be solving challenging problems on a daily basis using cutting edge technologies and advanced architectural patterns involving distributed systems and stateful services. This is a high impact role with immense growth opportunities and will truly put your software and machine learning engineering skills to the test.

**What You'll Do**
- Create a vision and construct a roadmap to build the fundamental machine learning infrastructure for the Data Science team.
- Develop and deploy scalable tools and services to handle machine learning training and inference
- Design data pipelines and engineering infrastructure to support our Plume's machine learning systems at scale
- Empower team members to follow the machine learning and software engineering best practices.
- Identify and evaluate new technologies to improve performance, maintainability, and reliability.
- Support model development, with an emphasis on auditability, versioning, and data security

**What You'll Bring**
- Education Requirements: BS/MS/PhD in Computer Science, Electrical Engineering or related technical field
- 2+ years of industry experience in developing ML systems, with emphasis on MLOps
- High proficiency in writing idiomatic code in Python and/or Scala
- Exposure to machine learning and software engineering methodologies and best practices
- Experience working with cloud computing and database systems, and machine learning technologies, such as AWS RDS, Sagemaker, Lambda, Spark (Databricks), MLFlow, Airflow
- Experience and demonstrated capability to handle challenges with vague or abstract problem definition
- Can work asynchronously with teams from different time zones

**About Plume**

As the creator of the only open, hardware-independent, cloud-controlled experience platform for CSPs and their subscribers, Plume partners with over 250 CSP customers, including some of the world's largest such as Comcast, Charter, Liberty Global, and J:COM.

Using OpenSync, the most widely supported open-source, silicon-to-cloud framework for smart spaces, Plume's software-defined network allows CSPs to decouple their service offerings from hardware and rapidly curate and deliver new services over a multi-vendor, open-platform architecture.

Backed by investors such as Insight Partners and SoftBank Vision Fund 2, Plume is now valued at $2.6B, having added over $500M in funding in 2021 alone.

Plume is an equal opportunity workplace that maintains a continuing policy of nondiscrimination in all employment practices and decisions, ensuring equal employment opportunities for all qualified individuals without regard to race, color, creed, religion, sex, national origin, age, physical or mental disability, sexual orientation, gender identity, marital status, pregnancy, childbirth or related individual conditions, medical conditions (as defined by state law), military or veteran status, or any other characteristic protected by federal, state or local law.

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