Legion IntelligenceRemote
Sr. Applied Machine Learning Engineer - Search
United States of America
Full-time
2 weeks ago
$205,000 - $260,000 USD
H1B Sponsor Likely
Key skills
Applied Machine LearningGenerative AIAI/ML/NLP TechniquesDebugging Distributed SystemsKubernetesCommunication SkillsGrowth MindsetAIMachine LearningMLNLPPyTorchscikit-learnCommunication
About this role
Yurtsai is a company focused on delivering secure and reliable AI systems to tackle critical challenges. They are seeking a highly skilled Senior Applied Machine Learning Engineer to design, develop, and deploy innovative machine learning and algorithmic solutions, collaborating closely with platform engineers and product partners.
Responsibilities:
- Lead the development of machine learning models and data-driven algorithms for high impact projects
- Collaborate with product and platform teams to own ML solutions end-to-end
- Understand the runtime complexity of algorithms and the cost to run ML models at a production scale
- Clearly communicate modeling decisions, tradeoffs, and limitations to technical and non-technical stakeholders
- Build, deliver, and maintain enterprise products, ensuring they meet high-quality standards while shipping fast
- Take ownership of your work, from design to implementation and maintenance, and drive projects to successful completion
- Support production systems, handling debugging challenges in distributed systems to ensure reliability and uptime
- Adapt quickly, bringing in latest developments in AI and machine learning, and proactively apply this knowledge to drive innovation within the company
Requirements:
- Bachelor's or Master's degree in Computer Science, Machine Learning, NLP
- Minimum 5+ years of experience in applied machine learning, with a track record of delivering enterprise products
- Proven experience in Generative AI, including fine-tuning, optimizing, and evaluating LLMs, RAG pipelines, and Agentic AI systems
- Strong proficiency with AI/ML/NLP techniques, resources and methodologies (ex: Huggingface, Spacy, Scikit-learn, Pytorch)
- Strong communication skills and the ability to collaborate effectively with cross-functional teams
- Comfortable supporting production systems and debugging challenges in distributed systems
- Demonstrated effectiveness in using AI tooling to accelerate research and development workflows
- Growth mindset and low ego- you're eager to pick up new tools and technologies, learn from others, and being open to changing course when it's right
- Start-up experience or comfort in 0→1 product environments
- Familiarity with Kubernetes is a plus
- Experience integrating machine learning models and data driven algorithms into larger system architectures