See yourself at Dataminr
As an AI Engineer, you will work closely with our Research Scientists and Data Scientists to train, build, adapt, optimize, and deploy state-of-the-art LLMs in Predictive AI and Generative AI applications. You will work on solving some of the most challenging problems in AI while building large-scale solutions that save lives. In this role, you’ll work closely with multiple teams in the AI Platform organization to deploy LLMs that improve state-of-the-art performance across different types of data (text, images, videos, audio, multi-modal, and sensor data), and that work at very large scale (processing billions of inputs per day). You will be expected to continuously learn and expand your knowledge in both AI and Software Engineering, utilizing and improving on the latest tools and techniques for LLM training and adaptation to leverage our large-scale proprietary data, compute and platform infrastructure, and domain expert input. This US-based role can be remote or based out of our New York City office.At Dataminr, we are creating a team of talented builders, creators and visionaries to have a real-world impact on how organizations respond to fast-emerging events as they unfold. We are over 600 talented individuals, spanning seven global offices, united by our passion to use AI for the greater good and be agents of positive change in our company and in our communities.
We offer a competitive benefits package aimed at keeping you healthy and happy:
Comprehensive medical, dental and vision insurance plan options for employees, domestic partners and their dependents
Generous PTO, flexible sick days and remote working options
Paid parental leave and family forming benefits
Mental health benefits and support
Company equity (RSUs)
At Dataminr, we serve a global community made up of many cultures and strive to reflect the diversity of the world in which we live. We stand for social justice and we lead with empathy. We foster a culture of allyship, standing up for those who face systemic barriers to equality. We actively condemn racism and discrimination in any form.
We believe our differences give us strength. Our employees are empowered to be their best, authentic selves through various opportunities, such as our robust employee resource group (ERG) network, learning and development funds, and more.
The opportunity
Work with groups of Research Scientists, Engineers, and Data Scientists in the AI Platform organization and beyond, to deploy, build, adapt, optimize, and deploy LLM models in production at very large scale.
Design and implement API services, libraries, and containers to support our LLMOps lifecycle.
Optimize Deep Learning models including LLMs in training and for production (including use of specialized hardware), maximizing execution speed, while minimizing compute cost.
Work directly on all aspects of science problems with other teams: from inception, brainstorming, and reading of scientific literature, to data exploration and implementation of methods created in-house, and productization of these methods.
What you bring
At Dataminr, we value you for who you are. We encourage you to apply for this role, even if you don’t meet every qualification. Our candidates are reviewed on the basis of their skill and potential to succeed.
M.S. in Computer science. Ph.D. studies in any field is a plus.
5+ years of experience as a Research or Machine Learning Engineer.
MLOps/LLMOps Experience: building, optimizing, deploying and operating Deep Learning models using PyTorch, including Transformers and LLMs, not just using APIs.
Experience working with Research Scientists, reading technical research papers, and implementing state-of-the-art methods in Natural Language Processing, Computer Vision, Knowledge Representation and Management, Vector Databases and Generative AI.
Expertise in Python.
Experience with Kubernetes, AWS, Databricks, Containers, FaaS
About Dataminr
Dataminr is a mission-driven AI company that delivers real-time information from 1M+ public data sources, empowering organizations to respond to critical events and emerging risks before they unfold. Founded as an AI company in 2009, Dataminr has the history and tenure in artificial intelligence, and has developed pioneering technology that is redefining the future of real-time information. Recognized as one of the world’s leading AI businesses, recently, Dataminr launched ReGenAI, the first generative AI that automatically regenerates in real-time. Most recently valued at $4.1B, our technology is leveraged by more than two-thirds of the Fortune 50 and half of the Fortune 100 companies who all rely on our AI because we do something that others cannot do.
Watch our CEO Ted Bailey, discuss the Future of Real-Time Information, the breadth of customers who trust Dataminr, and our proprietary ReGenAI technology here.
At Dataminr, we are creating a team of talented builders, creators and visionaries to have a real-world impact on how organizations are able to respond to events. We operate all around the world united by our passion to use AI for the greater good, be agents of positive change and put our technology into the hands of client charged with the responsibility to keep organizations running and keep people safe.
Colorado, New York, California, Washington only: The salary range for this position is as indicated below. Base salary ranges may vary by geographic location, applicant skills, and prior relevant experience, among other factors.
Colorado: $153,000-$166,500
New York/California/Washington: $170,000-$185,00
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Dataminr is an equal opportunity and affirmative action employer. Individuals seeking employment at Dataminr are considered without regards to race, sex, color, creed, religion, national origin, age, disability, genetics, marital status, pregnancy, unemployment status, sexual orientation, citizenship status or veteran status.
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