Machine Learning Research Engineer
$220k - $292kAnduril
Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century’s most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril’s family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years.ABOUT THE TEAM Anduril’s Lattice software platform integrates together many sensors into a single cohesive view of the world, providing needed context for our users. AI Engineers on Anduril’s Frontier AI team build edge-compatible, generative AI systems into the Lattice software platform to provide features and products that improve autonomy and reduce cognitive burden on the warfighter. Specific applications include but are not limited to automating mission planning, battle-space understanding, voice-control of assets, and enabling higher-levels of autonomy. WHAT YOU'LL DO Distill and fine-tune transformer architectures so they can be deployed onto edge devices or compute denied environments Propose and prototype LLM-based Agentic systems that help solve real world problems, leveraging the latest state-of-the-art techniques in the field Develop and maintain mission relevant benchmarks Work cross-functionally with different business lines across Anduril to help discover and scope new research problems REQUIRED QUALIFICATIONS BS in Computer Science, Machine Learning, Electrical Engineering, or related field 5+ years experience developing and benchmarking ML algorithms Experience pushing and maintaining ML algorithms in production Strong Python skills with experience in ML frameworks such as PyTorch Must be a U.S. Person due to required access to U.S. export controlled information or facilities PREFERRED QUALIFICATIONS Experience fine-tuning transformer-based model Experience deploying deep-learning based models to edge devices or air gapped environments Prior experience in defense tech or start-up US Salary Range$220,000—$292,000 USDThe salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. Highly competitive equity grants are included in the majority of full time offers; and are considered part of Anduril's total compensation package. Additionally, Anduril offers top-tier benefits for full-time employees, including: Benefits At Anduril, we invest in our people. Our comprehensive, competitive benefits package (available at little to no cost to employees) ensures you’re supported in health, recovery, and whatever comes next. For more information, Explore Our Benefits.
$201.68k - $322.69k
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...resources that allow you to hone existing skills and learn new ones "I can succeed as a Machine Learning Engineer at Capital Group" As a Machine Learning Engineer at Capital Group, you will create, research, implement, and maintain state of the art machine learning...SuggestedTemporary workLocal areaFlexible hours$240k
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$119k - $200k
...thinking, skills and more.? If you want to learn more about us visit us at ( . And for a... ...Applied Statistics Build out predictive Machine Learning (ML) modeling using R and... ...REQUIREMENTS ~ Bachelor's degree in finance, Engineering, Analytics, or Information Management is...Hourly payMinimum wageContract workTemporary workFlexible hours- ...Collaborate with cross-functional teams, including data scientists, product managers, data engineers, and software engineers, to design, develop and deploy machine learning models that meet business requirements. Develop and maintain continuous integration and delivery...
- Work alongside software engineers and data scientists to ensure that quantitative research models are effectively developed, tested, and deployed in production environments... ...familiarity with relevant libraries, e.g. scikit-learn, TensorFlow, and PyTorch....
$110k - $140k
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$129k - $171k
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