3 часа назад
Senior Machine Learning Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Machine Learning Engineer (AI): Building and optimizing production-ready AI systems for secure, distributed public-sector environments with an accent on model productionization, edge deployment, and multimodal machine learning. Focus on designing agentic workflows, developing RAG pipelines, applying quantization and other compression techniques, and optimizing inference across constrained and disconnected hardware.
Location: Austin, TX or the Washington D.C. Area; U.S.-based role
Company
develops production-ready AI systems for secure and distributed public-sector environments.
What you will do
- Design and deploy agentic workflows for multi-step reasoning, tool use, and decision-making.
- Productionize research prototypes into scalable, reliable AI systems for real-world applications.
- Develop and optimize adaptive machine learning systems using LoRA, PEFT, PyTorch, TensorFlow, and Hugging Face Transformers.
- Apply quantization, pruning, distillation, and hardware-specific acceleration techniques.
- Build RAG pipelines with vector database integrations for contextual retrieval.
- Optimize multimodal AI inference across cloud, edge, mobile, distributed, and resource-constrained environments.
Requirements
- Active U.S. security clearance required.
- 4+ years of experience in applied AI, machine learning engineering, or production AI systems.
- Deep proficiency in PyTorch, TensorFlow, or Hugging Face Transformers.
- Experience deploying AI models across cloud, edge, and mobile hardware.
- Expertise in model compression and optimization, including quantization, pruning, and distillation.
- Experience building RAG pipelines, integrating vector databases, and working with multimodal models or synthetic data generation.
Nice to have
- Experience with edge AI, federated learning, or offline inference systems.
- Understanding of AI governance and compliance frameworks for public-sector deployments.
- Experience integrating models into distributed systems or microservice architectures.
- Strong knowledge of GPU computing, CUDA, and performance profiling.
- Excellent communication and technical documentation skills.
Culture & Benefits
- Full-time employment with competitive benefits.
- Health, dental, and vision benefits for U.S.-based employees.
- 401(k) matching and a $200/month health and wellness stipend for U.S.-based employees.
- Continuing education support and a $500/year Function Health subscription for U.S.-based employees.
- Flexible time off, parental leave, supplemental life insurance, and free parking for in-office employees.
- Company values include truth, ownership, tenacity, and humility.
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