Software Engineer II, AI Research
New York City, United States
Dataminr
Dataminr’s real-time AI platform detects the earliest signals of high-impact events and emerging risks from within publicly available data.--COVID-19 Hiring Update--
As the health and safety of our candidates and our employees come first, we're excited to provide virtual experiences for interviews and new hire on-boarding.
Who we are:
Dataminr puts real-time AI and public data to work for our clients, generating relevant and actionable alerts for global corporations, public sector agencies, newsrooms, and NGOs. Our leading AI platform detects the earliest signals of high-impact events and emerging risks from vast amounts of publicly available information. Our real-time alerts enable tens of thousands of users at hundreds of public and private sector organizations to learn first of breaking events around the world, develop effective risk mitigation strategies, and respond with confidence as crises unfold.
Dataminr is making its mark for growth and innovation, recently earning recognition on the Deloitte Technology Fast 500, Forbes AI 50 and Forbes Cloud 100 lists. We also earned accolades for ‘Most Innovative Use of AI’ from the 2020 AI & Machine Learning Awards.
Join our team and help the world manage risk in real time. You’ll work with 800+ talented people across eight offices, united by our passion to collaborate, make a difference, and have fun while doing it!
Type: Full Time
Who we are:
Dataminr puts real-time AI and public data to work for our clients, generating relevant and actionable alerts for global corporations, public sector agencies, newsrooms, and NGOs. Our leading AI platform detects the earliest signals of high-impact events and emerging risks from vast amounts of publicly available information. Our real-time alerts enable tens of thousands of users at hundreds of public and private sector organizations to learn first of breaking events around the world, develop effective risk mitigation strategies, and respond with confidence as crises unfold.
Dataminr is making its mark for growth and innovation, recently earning recognition on the Deloitte Technology Fast 500, Forbes AI 50 and Forbes Cloud 100 lists. We also earned accolades for ‘Most Innovative Use of AI’ from the 2020 AI & Machine Learning Awards.
Join our team and help the world manage risk in real time. You’ll work with 800+ talented people across eight offices, united by our passion to collaborate, make a difference, and have fun while doing it!
Who you are:
We’re looking for a Software Engineer II, AI Research to work as liaison between the AI Group and engineering teams across the company in defining the right production delivery channels and processes for state-of-the-art algorithms and models (via APIs, libraries, etc.). Responsible for building an innovative and AI-centric platform to run streaming analytics at scale, using familiarity with cloud and open source orchestration technologies. Optimize Deep Learning models for production, maximizing execution speed, while minimizing compute cost. Work directly on all aspects of science problems with other members of the AI team: from inception, brainstorming, and reading of scientific literature, to data exploration and implementation of methods created in-house, and productization of these methods. Work with the team in solving specific problems at scale in one or more of the following areas: Natural Language Processing, Information Retrieval, Complex Networks, Recommender Systems, Computer Vision, Machine/Deep Learning, etc. Work closely with a diverse, interdisciplinary team to deliver value to customers (existing and new products). Partner with scientists and researchers to develop deep learning models.
Required Skills & Experience:
- Master’s degree or equivalent in Computer Science or a related field.
- 2 years of related software engineering experience
Must also have 12 months of demonstrated experience with each of the following:
- Designing data-driven products and services and creating technical design and implementation;
- Developing research-driven machine learning based solutions;
- Creating python-based machine learning services and containers using pytorch, tensorflow, sklearn, and docker;
- Designing and implementing microservice based APIs and designing and maintaining tooling for rapid service creation;
- Designing and deploying applications utilizing public cloud infrastructure, such as Amazon Web Services or Google Cloud Platform;
- Implementing CI/CD processes for software build resiliency and writing documentation for machine learning microservice APIs; and
- Profiling runtime requirements for ML based microservices.
- Will accept experience gained before, during, or after Master’s program. Employer will accept experience gained concurrently.
Why you should work here:
- We recognize and reward hard work with:
- competitive compensation package including company equity.
- paid benefits for employees and their dependents, including medical, dental, vision, disability and life insurance.
- 401(k) savings plan with company matching.
- flexible spending account for out-of-pocket medical, transit, parking and dependent care expenses.
- We want you to be your best, authentic self by supporting you with:
- A diverse, driven, and passionate team of coworkers who want you to succeed.
- Opportunities to own and drive important critical projects.
- Individual Learning and Development fund and professional training.
- Generous leave and flexible hours.
- Daily catered lunch and a fully stocked kitchen.
- And more!
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.
Tags: APIs CI/CD Computer Science Computer Vision Deep Learning Docker Engineering GCP Google Cloud Machine Learning Microservices NLP Open Source Python PyTorch Recommender systems Research Scikit-learn Streaming TensorFlow
Perks/benefits: Career development Competitive pay Equity Flex hours Flexible spending account Health care Insurance Medical leave Snacks / Drinks Startup environment Team events
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