обновлено 58 минут назад
AI Innovation Engineer
135 000 - 210 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
AI Innovation Engineer (Machine Learning): Designing and shipping advanced machine learning systems and production pipelines that solve high-impact business problems with an accent on deep learning, model evaluation, and scalable engineering. Focus on training and fine-tuning models, adapting current research techniques, building distributed and observable systems, and deploying models with safeguards.
Location: 100% remote within the United States
Salary: $135,000–$210,000 annually
Company
is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States.
What you will do
- Design and ship advanced machine learning systems for high-impact business problems.
- Bridge applied AI research and production engineering across the full lifecycle, from problem framing and experimentation to deployment and continuous improvement.
- Train, fine-tune, and evaluate deep learning models at non-trivial scale.
- Build robust, scalable, and well-instrumented production ML pipelines with appropriate observability and safeguards.
- Evaluate current AI research and adapt relevant techniques for real-world applications.
- Explain complex machine learning methods clearly to technical and non-technical stakeholders.
Requirements
- Master’s or PhD in Computer Science, Machine Learning, Statistics, or a closely related field, or equivalent applied experience.
- Six or more years of combined research and applied ML engineering experience.
- Strong proficiency in Python and modern ML frameworks such as PyTorch or JAX.
- Hands-on experience with deep learning model training, fine-tuning, and evaluation at scale.
- Strong foundations in mathematics, statistics, and modern machine learning theory.
- U.S. work authorization is required; the role is open to U.S. citizens, Green Card holders, EAD holders, and H-1B transfer candidates. New H-1B visa petitions cannot be sponsored.
Nice to have
- Published research at top-tier AI/ML venues.
- Experience with large language model training, fine-tuning, or evaluation.
- Familiarity with retrieval-augmented generation, agentic systems, or multimodal architectures.
- Exposure to responsible AI, model evaluation, and alignment practices.
- Experience contributing to open-source ML projects.
Culture & Benefits
- Full-time direct W-2 employment.
- Fully remote work within the United States.
- Career growth opportunities within an established technology organization.
- Work spanning cloud, AI, data, and enterprise solutions.
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