Senior Machine Learning Engineer, Sentry Tower

About the Team

The Counter Intrusion MSE team develops systems that provide force protection capabilities monitoring the perimeter of secure areas land or sea for approaching people vehicles and vessels. We live in a world where security officers are increasingly overwhelmed by sensor data feeds. Our products leverage advanced sensor fusion and autonomy to seamlessly render activity in the environment to Lattices common operating picture. This relieves operators of our system from a ton of burden and allows our customers to get more done with fewer personnel. Increasingly Counter Intrusion MLEs are working on projects to bring customers existing legacy security systems into the Lattice ecosystem. Key to this effort is building scalable software solutions so that we can service many customers without requiring bespoke software for each one. The Counter Intrusion team is responsible for the development testing deployment and sustainment of our family of systems. We work closely with other teams from product engineering sales logistics operations and mission success.

About the Role

We are looking for a Machine Learning Engineer to apply the latest research to solve our toughest problems. This role will be responsible for owning the whole machine learning stack for the Counter Intrusion team. You will design and train multi-sensor object detection models for perception on edge compute devices that push the boundaries of whats possible with our sensors. You will develop learning algorithms to optimize the behavior of autonomous systems. You will also be responsible for the end-to-end design implementation and performance of the ML stack including the infrastructure for data collection and training. Your work will directly impact Andurils ability to deliver cutting-edge defense technology with the opportunity to identify and develop novel ML applications across our product portfolio.

Responsibilities

• Propose and prototype innovative solutions to solve real-world problems leveraging the latest state-of-the-art techniques in the field
• Develop and maintain core ML pipelines
• Train and deploy deep learning models for real-time applications
• Collaborate cross-functionally with camera systems and labeling teams
• Curate datasets for evaluating performance and comparing performance trends over time
• Provide technical mentorship to other junior ML engineers

Required Qualifications

• MS or PhD in Machine Learning Robotics or Computer Science with emphasis on Computer Vision
• BS in Computer Science Machine Learning Electrical Engineering or related field
• 6 years of experience developing benchmarking and optimizing ML algorithms on large-scale datasets
• Strong Deep Learning and CV background
• Proficiency in C development in a Linux environment
• Experience with Python development and deep learning frameworks such as PyTorch JAX and TensorFlow
• Experience deploying models with TensorRT and ONNX
• Optimize on-device inference and vision kernels across CPU/GPU/NPU
• Track record of developing and deploying CV models from R&D to production
• Experience writing and maintaining automated continuous integration tests
• Knowledge of system profiling and tuning for latency memory and power efficiency
• Ability to conduct experiments ablation studies and create highly detailed reports
• Eligible to obtain and maintain a U.S. Secret security clearance

Preferred Qualifications

• Experience in one or more of the following:
• Object Detection Object Tracking Instance Segmentation Semantic Segmentation Semantic Change Detection Depth Estimation Model Pruning and Compression
• Experience in one or more of the following:
• Visual Odometry SLAM Multi-view Geometry Camera Models RGB-D and LIDAR Sensor Fusion Optical Flow
• Experience troubleshooting and analyzing remotely deployed software systems
• 1 year of experience in a technical leadership role

The 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 Andurils total compensation package. Additionally Anduril offers top-tier benefits for full-time employees including:

Healthcare Benefits

• US Roles:Comprehensive medical dental and vision plans at little to no cost to you.
• UK & AUS Roles:We cover full cost of medical insurance premiums for you and your dependents.
• IE Roles: We offer an annual contribution toward your private health insurance for you and your dependents.

Additional Benefits

• Income Protection: Anduril covers life and disability insurance for all employees.
• Generous time off: Highly competitive PTO plans with a holiday hiatus in December. Caregiver & Wellness Leave is available to care for family members bond with a new baby or address your own medical needs.
• Family Planning & Parenting Support: Coverage for fertility treatments (e.g. IVF preservation) adoption and gestational carriers along with resources to support you and your partner from planning to parenting.
• Mental Health Resources:Access free mental health resources 24/7 including therapy and life coaching. Additional work-life services such as legal and financial support are also available.
• Professional Development:Annual reimbursement for professional development
• Commuter Benefits:Company-funded commuter benefits based on your region.
• Relocation Assistance:Available depending on role eligibility.

Retirement Savings Plan

• US Roles:Traditional 401(k) Roth and after-tax (mega backdoor Roth) options.
• UK & IE Roles:Pension plan with employer match.
• AUS Roles:Superannuation plan.

The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process.

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