Applied ML Engineer

Applied Machine Learning Engineer

We're seeking an Applied Machine Learning Engineer to design and deploy intelligent systems that streamline infrastructure workflows. This role involves working hands‑on with advanced technologies such as large language models (LLMs), knowledge graphs, and modern retrieval systems to build scalable, agent‑based solutions.

You’ll prototype rapidly, experiment with emerging approaches, and take projects from concept through production. If you thrive in dynamic environments and are passionate about applying AI to real‑world challenges, this position is for you.

$/yr - $/yr

• Design and implement large‑scale machine learning systems that deliver measurable product value.
• Build and maintain end‑to‑end evaluation pipelines using real‑world data.
• Collaborate cross‑functionally to translate business needs into ML‑driven solutions.
• Prototype and iterate quickly, adapting to feedback and evolving requirements.

• Experience
  : 5+ years in applied machine learning or a related role, ideally in a fast‑paced or high‑growth environment.
• Technical Skills
  :
  • Strong ML fundamentals: classification/regression, clustering, dimensionality reduction, evaluation, probabilistic modeling.
  • Expertise in at least one applied ML domain (e.g., NLP, search, statistical modeling).
  • Proficiency in Python and Type Script; familiarity with common ML libraries and data engineering tools.
• Mindset
  :
  Problem‑solving focus, strong communication skills, and comfort with iterative development.
• Bonus
  :
  • Experience with vector/hybrid search.
  • Dataset curation or synthetic data generation.
  • Contributions to open‑source ML tools.
  • Familiarity with Go or other systems languages.

• A builder who thrives in collaborative, fast‑paced environments.
• Excited about working in‑person at a modern office.
• Passionate about startups and zero‑to‑one product development.
• Enjoys working with ambitious, systems‑thinking teammates.

• Competitive compensation and equity.
• Comprehensive health, dental, and vision coverage, plus retirement benefits.
• Unlimited PTO and wellness perks.
• Support for late‑night work and commuting.
• Tools and resources to help you do your best work.

• Application Review
• Introductory Chat
• Leadership Interview
• Technical Assessment
• Onsite Team Interviews
• Fast Decision