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Machine Learning Engineer
In the time it takes you to read this job description, roughly 1,380 emergencies will be handled by RapidSOS.
RapidSOS is hiring! Join an advanced emergency technology start-up in transforming emergency response for hundreds of millions of people globally.
In partnership with public safety, RapidSOS has created the world’s first emergency response data platform that securely links life-saving data from 350M+ connected devices directly to 911 and first responders in an emergency. Through the platform, we’re providing intelligent data that supports over 4,800 Emergency Communications Centers, protecting 90%+ of people in the US, across 150 million emergencies annually.
Partnering with innovative companies recognized as RapidSOS Ready, we’re striving to reach everyone. Together, we’re empowering a faster and smarter response by sending first responders critical data like your exact location, real-time health information, and crash data. We’re united in our commitment to a safer, stronger future where technology and people work seamlessly together to save lives.
RapidSOS is backed by top venture capital firms and the former C-suite of Apple, AT&T, Verizon, Vodafone, Virgin Group, Lucent, Raytheon, the FCC, Harvard Data Initiative, and MIT.
Video: RapidSOS 3-Min Summary Video
RapidSOS in the last 18 months:
Launched in multiple countries internationally
Doubled team size
Grew revenue 10x+
Managed 200M+ emergencies (on average 400K/day)
Helped save thousands of lives
What this role is about:
At RapidSOS, we rely on insightful data to power our systems and solutions. We are looking for a motivated Machine Learning Engineer to join our team who will identify ways to make the Data Science organization more effective at ensuring data availability, quality, and consistency. You will work collaboratively with other data scientists, product managers, and our engineering teams to build a platform that provides life-saving data to dispatchers, currently covering over 92% of the US population.
What you’ll do:
Manage processing of data ingestion and pipelining; ensure all critical data sources are being ingested into the data warehouse
Research publicly available sources and public APIs to incorporate and enrich the data that we use in our intelligent data platform
Automate and productize analytical processes and data pipelines.
Implement data models to support the backend of our products
Collaborate with the data science team, machine learning engineers, and product stakeholders to ensure the end-to-end success of RapidSOS solutions
What we’re looking for in our ideal candidate:
3+ years of experience in data engineering
BS or higher in Computer Science or similarly quantitative/technical field or equivalent experience
Experience with any of the following technologies: Hadoop, Spark, ElasticSearch, relational SQL and NoSQL databases
Experience working with big data sets and the AWS ecosystem
Experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc.
Experience with data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc.
What we offer:
The chance to work with a passionate team on solving one of the largest challenges globally
Competitive salary and benefits and equity participation
A dynamic, flexible and fun start-up work environment with a highly talented team
If you're curious to learn more about RapidSOS, you can check out our full press list !
If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!