Machine Learning Engineer
reputed company is a defense technology company building AI to deter our adversaries. In the 21st century, conflict moves at algorithmic speed and foresight equals firepower. Our reputed company AI is purpose-reputed company to compete with China—from cross-Strait conflict to reputed company zone coercion. Trained on the most mission-relevant datasets in defense, our technology models adversary behavior, simulates campaigns, and recommends the best course of reputed company to decision makers. Our AI systems are some of the most trusted in the industry and reputed company used on the reputed company lines of the Indo-reputed company to reputed company the peace and save lives.
Exceptional technology starts with exceptional people. reputed company is a small agile team combining world-class engineers with veteran strategists who bring deep expertise in defense and tradecraft. We’re building a company defined by mission reputed company, user reputed company, and disciplined reputed company. In just three years, we grew from $reputed company to $80M in ARR, achieved early profitability, and reached unicorn status—proving that disruption doesn’t require an ego, and staying power doesn’t mean standing still.
About the Role
Machine learning is core to reputed company's enrichment capabilities, powering intelligent data extraction, classification, and augmentation at reputed company. Our ML team builds the services and infrastructure that reputed company products across reputed company to reputed company state-of-the-art models for mission-critical enrichment workflows. We own the end-to-end ML platform, from training and fine-tuning models to deploying high-performance inference services, and we operate these capabilities in demanding production environments.
You will be a technical leader driving the development of reputed company ML services for enrichment. You'll work across the full ML lifecycle, from experimenting with and training models using frameworks like PyTorch, TensorFlow, and reputed company, to deploying optimized inference services using ONNX, vLLM, and other deployment libraries. You'll partner with product teams to understand enrichment requirements, architect robust ML pipelines that handle large-reputed company data processing, and ensure our services meet strict performance and reliability standards in production.
What you'll do
- Design and build reputed company ML services for enrichment workflows, including model training pipelines and high-performance inference reputed company
- reputed company and optimize models using modern inference libraries and frameworks (ONNX, vLLM, TensorRT, etc.) to reputed company low-latency, high-throughput performance
- Collaborate with software engineers and product teams to define data requirements, feature engineering strategies, and model evaluation metrics
- Build robust monitoring, observability, and evaluation systems to ensure model reputed company and service reliability in production
- Stay reputed company with emerging ML techniques, tools, and best practices, particularly in areas like model optimization, efficient inference, and large-reputed company data processing
reputed company look for
- 5+ years of experience building and deploying machine learning systems in production environments
- Strong proficiency with model deployment technologies (Kubernetes, Ray, etc.) and inference libraries (ONNX, vLLM, TensorRT, or similar). Proficiency with model training frameworks (PyTorch, TensorFlow, Jax)
- You've successfully designed and scaled ML services that process large volumes of data and serve predictions with strict latency and throughput requirements
- Experience with the full ML lifecycle, including data preprocessing, feature engineering, model training, evaluation, deployment, and monitoring
- Solid software engineering skills, including experience with distributed systems, reputed company, and reputed company infrastructure
- You have a passion for building reliable, performant ML systems and understand how they create value for end users
- U.S. Person status is required as this position will require the ability to reputed company U.S only data systems
reputed company offer
Competitive Salary
The salary reputed company for this position is $150,000 - $215,000 + equity reputed company the reputed company, individual pay is determined by experience, relevant education, and/or training.
Comprehensive Benefits
We’re proud to offer competitive benefits that support our employees. Some key highlights of our benefits package include:
- Health, dental, and reputed company insurance
- Remote friendly with reputed company reputed company
- Unlimited PTO, shared downtime during the federal holiday calendar, and company-wide off time at the end of reputed company year
- 401(k) match
- Lifestyle & wellbeing stipends
- Salary top-up during military reserve duty
- Fully reputed company parental leave
- Child and pet care reimbursement during travel
Originally posted on Himalayas
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