Role Description We are sharing a specialised part-time consulting opportunity for experienced Coaches and Scouts with strong professional expertise in athletic instruction, player development, performance evaluation, talent identification, and real-world educational services sector workflows. This role supports a research project for one of the world's top AI companies and focuses on using real-world occupational expertise to design high-quality questions related to the day-to-day work of Coaches and Scouts. Selected professionals will apply their domain knowledge to help shape structured project content grounded in real professional practice, contributing occupation-specific expertise that supports advanced AI training and evaluation work. Key Responsibilities - Occupational Expertise & Research Input - Use professional experience as a Coach or Scout to support a research project for a leading AI company - Contribute domain knowledge grounded in real-world full-time work experience - Help ensure project outputs reflect authentic occupational practice and professional standards - Question Design & Content Development - Design questions related to the occupation of Coaches and Scouts - Translate day-to-day professional knowledge into structured, high-quality research content - Contribute occupation-specific material that supports AI training and evaluation initiatives - Project Participation & Quality Contribution - Engage consistently in a structured remote project environment - Contribute professional judgment shaped by coaching, scouting, and athletic development experience - Support high-quality output through reliable participation and strong subject-matter expertise Qualifications - 4+ years of full-time work experience as a Coach or Scout - Strong professional background in coaching, scouting, athletic development, talent evaluation, or related educational services work - Ability to contribute real-world occupational insight to structured research work - Strong written communication and analytical thinking skills - Reliable availability for consistent project participation - Current location in the US, UK, or Canada Preferred Qualifications - Experience translating professional knowledge into structured content or research inputs - Strong understanding of coaching workflows, scouting evaluation, athlete development, and performance assessment - Ability to contribute precise, profession-specific material in a consistent and high-quality way Benefits - Contribute specialised coaching and scouting expertise to a high-impact AI research project - Help shape AI systems using authentic occupational knowledge from real professional practice - Participate in a focused remote project with meaningful domain contribution - Flexible remote work with competitive compensation based on background and location Contract Details - Independent contractor role - Fully remote with flexible scheduling - Hourly compensation listed at $50–$90 per hour for U.S.-based applicants - Compensation will vary depending on professional background and geographic location - Minimum commitment of 15 hours per week - Estimated project duration of approximately 3–4 weeks after project start - The work is fully asynchronous and can be completed around your schedule - A desktop or laptop computer is required for this project - Weekly payments are made via Stripe or Wise based on services rendered - Candidates will be classified as at-will contractors to Mercor - Projects may be extended, shortened, or concluded early depending on project needs and performance - Work will not involve access to confidential or proprietary information from any employer, client, or institution - Please note: We are unable to support H1-B or STEM OPT candidates at this time - Start date: Immediate About the Platform This opportunity is available through a leading AI-driven work platform that connects domain experts with frontier AI research projects. Experts contribute to improving advanced AI systems by providing specialised expertise across real-world workflows, structured evaluation, model training support, and domain-specific professional knowledge.

• Design, develop, and deploy machine learning models and solutions, leveraging tools such as LangGraph and MLflow for orchestration and lifecycle management. • Collaborate on building and maintaining scalable data and feature pipeline infrastructure for real time and batch processing using tools like BigQuery, BigTable, Dataflow, Composer(Airflow), PubSub, and Cloud Run to support ML model training and inference. • Develop and implement robust strategies for model monitoring and observability to detect model drift, bias, and performance degradation, leveraging tools like Vertex AI Model Monitoring and custom dashboards. • Optimize ML model inference performance to improve latency and cost-efficiency of AI applications. • Ensure the overall reliability, performance, and scalability of the ML models and data infrastructure platform, including proactive identification and resolution of issues related to model performance and data quality. • Troubleshoot and resolve complex issues impacting ML models, data pipelines, and production AI system. • Ensure AI/ML models and workflows meet data governance, security, and compliance requirements, specifically for real-money gaming.

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 TeamThe 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 Lattice's 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 RoleWe 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 what's 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 Anduril's 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 US Salary Range $220,000—$330,000 USD 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 Anduril's 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. Protecting Yourself from Recruitment ScamsAnduril is committed to maintaining the integrity of our Talent acquisition process and the security of our candidates. We've observed a rise in sophisticated phishing and fraudulent schemes where individuals impersonate Anduril representatives, luring job seekers with false interviews or job offers. These scammers often attempt to extract payment or sensitive personal information. To ensure your safety and help you navigate your job search with confidence, please keep the following critical points in mind: - No Financial Requests: Anduril will never solicit payment or demand personal financial details (such as banking information, credit card numbers, or social security numbers) at any stage of our hiring process. Our legitimate recruitment is entirely free for candidates. - Please always verify communications: - Direct from Anduril: If you receive an email from one of our recruiters, it will only come from an @anduril.com address. - Via Agency Partner: If contacted by a recruiting agency for an Anduril role, their email will clearly identify their agency. If you suspect any suspicious activity, please verify the agency's authenticity by reaching out to contact@anduril.com. - Exercise Caution with Unsolicited Outreach: If you receive any communication that appears suspicious, contains grammatical errors, or makes unusual requests, do not engage. Always confirm the sender's email domain is @anduril.com before providing any personal information or clicking on links. - What to Do If You Suspect Fraud: Should you encounter any questionable or fraudulent outreach claiming to be from Anduril, please report it immediately to contact@anduril.com. Your proactive caution is invaluable in protecting your personal information and upholding the security and trustworthiness of our recruitment efforts. Data PrivacyTo view Anduril's candidate data privacy policy, please visit https://anduril.com/applicant-privacy-notice/.

• Be a driving force behind our core ML models and underlying data and training pipelines. • Own your projects end-to-end and seamlessly explain complex technical concepts to both technical and non-technical stakeholders. • Have deep passion for video games and think on behalf of our players. • Be curious, a problem solver and a self-starter who is comfortable taking risks and proactively identifying and pursuing business needs. Know how and when to apply your knowledge, and be willing to share it with those around you. • Be responsible for your domain of expertise on projects from inception to delivery and beyond.