Senior Machine Learning Engineer, Modern Intelligence
$165-205k
+ Performance Bonuses
Travel 10% - 20% of the time
Building AI for defense
Job no longer available
Building AI for defense
21-100 employees
Job no longer available
$165-205k
+ Performance Bonuses
Travel 10% - 20% of the time
21-100 employees
Company mission
To bring breakthrough AI research to defense.
Role
Who you are
- MS or equivalent experience in Computer Science, Data Science, Mathematics, Statistics, Physics, or related field. PhD or equivalent experience preferred. Candidates still in their graduate program will be considered
- Strong proficiency in at least one popular ML framework, e.g. Tensorflow or Pytorch
- Strong proficiency in coding and data science
- End-to-end proficiency at the model engineering process -- from data acquisition, storage, processing, and interface design, to model architecting and training, to local or cloud model deployment
- Proficiency in Probability Theory and other mathematical areas relevant to ML
- A demonstrable track record of high-quality work in architecting and training neural networks. The ideal candidate will have a publication record demonstrating the ability to make novel contributions
- Significant experience with computer vision, object detection, self-supervised learning, multimodal sensor fusion, and/or zero-shot learning
- Experience with robust models & out-of-distribution data at test time
- Excellent communication skills, and the ability to work effectively in a team
- Ability to travel 10% - 20% of the time
- Onsite/Hybrid only
- US Citizenship and eligibility for a Secret security clearance is required; an active Top Secret clearance is strongly preferred
What the job involves
- We are gathering the most ambitious AI researchers, software engineers, and mission leaders in defense because we believe defense is the future of defense, and defense is the future of AI
- You take full ownership of the problem, starting with a fundamental understanding of the 'Why' from first principles
- You are quick to iterate on hypotheses and dive into novel research, just as you are ready to tackle hands-on data cleaning issues
- Your actions are geared towards actively supporting product deployment in the field
- You recognize that speed is critical, and maintaining our users’ trust is paramount
Otta's take
Sam Franklin
CEO of Otta
The adoption of AI is ever-increasing, and all industries seek to benefit from these technologies. For the defense industry, the ability to have AI-assessments of combat environments will protect service members, reduce casualties, and improve the efficiency of operations, yet a lack of technical expertise in these departments risks the adoption of poor methods not tailored for military use. Modern Intelligence provides high-performance, defense-industry-specific AI systems, that can be deployed on existing infrastructure with minimal training.
Modern Intelligence was founded in 2020 with ambitions to deliver AI for all defense functions. The company has started in maritime sensor function – the detection of threats under, on or above water – in which current solutions require thousands of data samples to provide only limited recognition. Modern Intelligence’s AI models are low-data, with a focus on learning rather than memorizing, and deal with novel scenarios well. On top of this, the product is built for integration, being platform independent to avoid lock-in for clients.
Modern Intelligence’s AI has excited top professionals in defense technology, and its impressive preliminary funding will be used to deliver and test its solutions across military exercises. With this, the company is in a strong position to deliver on its aims to accelerate the adoption of AI in the defense industry.
Insights
Company
Funding (2 rounds)
Sep 2021
$4.5m
SEED
Mar 2021
$0.8m
SEED
Total funding: $5.3m
Company benefits
- Full medical, dental, and vision benefits
- Discretionary PTO
- Paid Parental Leave
Company values
- Our culture is driven by a sense of service to American warfighters, and a sense of rebellion against business-as-usual AI research
Company HQ
Congress Avenue Historic District, Austin, TX
Articles
Founders
John Dulin
(Co-founder & CEO)Former Talent Fellow with Contrary. Worked as Senior Investment Engineer at Numerai, and as a Research Software Engineer at Freenome.
Tristan Tager
(Co-founder & Chief Scientist)Former AI Research Scientist with Genentech. Previously Head Of Research at the Bay Area Complexity Institute. Co-founded ExamScram.
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