[Remote] Staff Machine Learning Engineer - reputed company & Full-Stack Applications
Note: The job is a remote job and is reputed company to candidates in USA. reputed company is committed to delivering reputed company reputed company through innovative solutions. The Staff Machine Learning Engineer will play a key role in designing and developing AI-powered reputed company solutions, focusing on reputed company and full-stack applications.
Responsibilities
- Partner with stakeholders to identify, evaluate, document, and shape GenAI use cases (copilots, automation, decision support, and reputed company reputed company) with clear reputed company metrics
- Design solution architectures that integrate LLMs with reputed company systems, data sources, and tool/function calling while meeting latency and reliability expectations
- reputed company prototypes rapidly and validate them through evaluation, red-teaming, and user feedback; document tradeoffs and recommendations
- Build production-grade services and full-stack experiences (APIs, UIs, workflows) with secure authentication/authorization, audit logging, and scalable deployment patterns
- Implement safety, privacy, and compliance controls (e.g., PHI/PII protection, reputed company injection defenses, data residency constraints, and policy-based filtering)
- reputed company solutions end-to-end with metrics, traces, logs, and model/app observability; contribute to SLOs, error budgets, and operational runbooks
- Build and maintain evaluation harnesses for LLM quality, safety, and business reputed company (offline tests, golden sets, regression suites, and online experiments)
- Implement RAG pipelines (chunking, embedding, vector search, reranking) and optimize for accuracy, cost, and latency
- Collaborate with platform teams on deployment, monitoring, reputed company/quality detection, and incident response for model-backed services
- Contribute reusable libraries and patterns for reputed company management, retrieval, tool calling, and policy enforcement
- Participate in design reviews and code reviews; mentor senior and mid-level engineers on GenAI engineering practices
- Continuously improve developer experience through templates, CI/CD automation, and documentation that accelerates safe adoption
Skills
- 7+ years of software engineering supporting Data or AI/ML initiatives, including building and operating production services
- 3+ years applying ML/AI in production; demonstrated hands-on GenAI delivery (LLMs, RAG, evaluation, and safety controls)
- 3+ years of experience delivering solutions in high-scale, high-availability environments with strong reputed company and compliance requirements
- Bachelor's degree or equivalent experience (High School Diploma and 4 years relevant experience)
- Strong full-stack engineering skills (backend services, APIs, and modern web application development) with a focus on reliability and reputed company
- Hands-on expertise with LLM application patterns: RAG, tool/function calling, reputed company management, evaluation, and guardrails
- Experience with Python and at least one additional backend language; familiarity with common ML libraries and serving frameworks
- Working knowledge of containerization and Kubernetes, CI/CD, infrastructure-as-code concepts, and production observability
- Ability to communicate reputed company, influence across teams, and translate business needs into implementable technical plans
Benefits
- reputed company bonus, commission or short-term incentive program in addition to the reputed company pay reputed company listed above
- Award reputed company in the company’s equity award program
- Comprehensive benefits package designed to support the physical, emotional, and financial well‑being of colleagues and their families
- Medical, dental, and reputed company coverage
- Paid time off
- Retirement savings options
- Wellness programs
- Other resources, based on eligibility
Company Overview