4 дня назад
Applied Machine Learning Engineer
160 000 - 180 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Applied Machine Learning Engineer (AI/ML): Developing, fine-tuning, and operationalizing machine learning models and customer-facing AI applications with an accent on proof-of-concepts, model enablement, and scalable deployment. Focus on building end-to-end applications, optimizing inference performance, and integrating LLM and generative AI systems for enterprise customers.
Location: San Mateo or New York, United States
Salary: $160,000–$180,000 per year
Company
provides a platform for building, training, and serving specialized AI models across text, image, embedding, audio, and multimodal workloads.
What you will do
- Build and present AI technology demonstrations and proof-of-concepts for customers.
- Design, develop, and deploy end-to-end AI-powered applications tailored to customer needs.
- Contribute platform features, resolve bugs, and enable new machine learning models.
- Improve the performance, efficiency, and scalability of deployed models and applications.
- Work with customers from early engagements through proof-of-concepts and production deployments.
Requirements
- Master’s degree in Computer Science, Engineering, or a related technical field, completed recently or expected before the start date.
- Strong skills working with AI coding harnesses.
- Practical software engineering experience from internships, research, open-source contributions, or substantial personal projects.
- Hands-on experience building with LLMs or other machine learning models.
- Strong interpersonal and communication skills, with an interest in working directly with customers.
- Comfort with ambiguity and a fast-moving environment.
Nice to have
- Experience fine-tuning models with supervised fine-tuning, RLHF, or RFT.
- Experience shipping full-stack or agentic applications end to end.
- Understanding of generative AI, machine learning principles, and cloud or enterprise infrastructure.
- Familiarity with inference serving, evaluation, or RAG systems.
Culture & Benefits
- Mentorship from a senior engineer and a structured ramp-up program.
- Opportunities to work on AI infrastructure, low-latency inference, and scalable model serving.
- Collaboration with engineers and AI researchers on production AI technology.
- Work in a fast-moving environment with significant ownership and customer impact.
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