Jobs Companies Parspec Senior Machine Learning Engineer - 1

À propos de ce poste Senior Machine Learning Engineer - 1 chez Parspec

Parspec · Hybride · Hybrid - San Mateo, California

About Parspec

Founded in 2021, Parspec is revolutionizing material procurement for the $13 trillion USD construction industry by digitizing and organizing the industry's product data. Our proprietary AI technology maintains a current and comprehensive catalogue of millions of products, enabling our customers to identify products that best meet their needs - instantly. Trusted by top designers, builders, distributors and sales agents and backed by leading venture investors, Parspec is paving the way for a more innovative, connected, and sustainable future in construction. Join us in building transformative technology that reshapes one of the world’s oldest and largest industries.

The Opportunity

We are seeking a highly skilled Senior Machine Learning Engineer to join our AI team and play a pivotal role in developing state-of-the-art discovery and extraction systems. As a senior member of the team, you will lead the design, development, and deployment of sophisticated machine learning models, specifically focusing on search ranking, recommendation engines, and high-precision document extraction. You will work on complex data science problems while collaborating closely with business, product, and engineering teams to deliver impactful AI-driven features that are central to our product offering.

This is a unique opportunity to be at the forefront of innovation, leveraging advanced AI technologies like LLMs and vector databases to transform an industry ripe for digital disruption.

What You Will Achieve and Key Responsibilities

AI System Development

  • Search & Recommendation Systems: Lead the design and implementation of advanced Search, Ranking, and Recommendation systems to help customers navigate millions of technical products.

  • Doc Extraction & NLP: Develop high-precision NLP and document extraction pipelines to digitize and structure complex construction data from unstructured sources.

  • Advanced Architecture: Research and implement novel deep learning architectures, focusing on hybrid retrieval models and fine-tuned LLMs.

  • Production Deployment: Develop, train, and deploy deep learning and machine learning models that are scalable, extensible, and integrated into production environments.

  • Agentic Workflows: Architect autonomous or semi-autonomous agents that can plan and execute multi-step discovery tasks.

Full Product Lifecycle Participation

  • Technical Leadership: Collaborate with product managers and UX designers to integrate AI components into fully functional systems, providing technical guidance on feasibility and architecture.

  • End-to-End Ownership: Participate in the complete product lifecycle—from concept design to development, integration, testing, and deployment.

Scalable Solutions

  • High-Volume Data: Build products that handle large data volumes efficiently while remaining highly scalable for onboarding new clients.

  • Pipeline Design: Design complete end-to-end data and ML pipelines, ensuring seamless integration and monitoring in production.

Research & Collaboration

  • R&D Initiatives: Work closely with the leadership team on research efforts to explore cutting-edge technologies, such as vector databases and embedding-based retrieval.

  • Excellence Standards: Uphold a culture of engineering excellence by maintaining high standards in code quality, documentation, and innovation

Why This Matters

Your contributions will be instrumental in advancing Parspec’s AI capabilities, enabling us to build intelligent systems that solve real-world problems in construction technology. By developing scalable AI solutions, you will help digitize an industry while driving innovation through state-of-the-art machine learning techniques.

Minimum Qualifications

  • Education: Bachelor’s or Master’s degree (PhD preferred) in Science or Engineering with strong programming and analytical skills.

  • ML Expertise: Strong conceptual understanding of machine learning principles, specifically in NLP, Search, or Ranking.

  • Technical Skills: Hands-on experience implementing ML projects in Python using libraries like NumPy, scikit-learn, and pandas.

  • Deep Learning: Proficiency in training and fine-tuning deep learning models using PyTorch or TensorFlow.

  • Leadership: Proven ability to lead technical initiatives from concept to operation while navigating complex challenges.

Preferred Qualifications

  • Specialized Infrastructure: Deep experience with Vector Databases (e.g., Pinecone, Milvus) and optimizing embedding models for retrieval.

  • Fine-tuning: Experience fine-tuning LLMs for specialized domain tasks and ranking signals.

  • AI Agent Orchestration: Hands-on experience with agentic frameworks (e.g., LangGraph, AutoGen, or CrewAI) for building complex, multi-step reasoning chains.

  • Planning & Memory: Experience implementing agentic "memory" (long-term/short-term) and planning strategies (like ReAct or Tree of Thoughts).

  • Data Structures: Expert knowledge of algorithms and data structures.

  • Research & Community: A track record of publications in top-tier conferences (e.g., NeurIPS, SIGIR, KDD, ACL) or significant contributions to open-source ML projects.

What We Offer

  • Competitive salary and discretionary bonus, plus equity options. The pay range for this role is $180-$240K.

  • Unlimited PTO policy

  • Medical, dental, and vision coverage

  • Flexible hybrid work environment

  • Regular team offsites and a budget for professional development

  • Preferred Location: San Mateo, with regular in-office presence

Join Us – Lead the Transformation!

At Parspec, we recognize that traditional job descriptions don’t always capture the full range of your unique abilities—and that’s perfectly okay. You may not meet every requirement, but if you bring a mix of experiences, fresh perspectives, and a passion that aligns with our mission, we want to hear from you!

The Parspec team believes that varied backgrounds drive better outcomes and fuel innovation. We are a team of self-starters that lead from every seat. We think big, set a standard of excellence and are committed to diversity and a discrimination-free workplace. We welcome applicants from all walks of life to join us and help shape the future at Parspec.

How to Apply

Submit your application and resume highlighting your achievements. Apply now and help drive transformative change in one of the world’s oldest and largest industries!

Prêt à postuler chez Parspec ?
Postuler chez Parspec

Comment se compare ce salaire pour ML Engineer

Ce poste paie $240,000/yrdans la fourchette habituelle pour les postes ML Engineer.

$142,652 la médiane $205,000 $300,000

Fourchette typique $175,000–$250,000/yr, à partir de 737 annonces ML Engineer comparables sur JobsRadar (rémunération annualisée en USD). Voir les aperçus de salaire pour ML Engineer →

Emplois similaires

Inscrivez-vous pour des suggestions adaptées aux emplois que vous ouvrez et aux recherches que vous enregistrez.

Plus d’emplois chez Parspec

Voir tous les emplois chez Parspec →

Postuler maintenant
🤖

Doucement — un instant

JobsRadar a été conçu pour de vraies personnes qui traversent une période difficile dans leur recherche d’emploi — pas pour des requêtes automatisées. Vous cliquez beaucoup trop vite et vous êtes maintenant temporairement bloqué.

Revenez plus tard. Si vous cherchez réellement un emploi, nous sommes de votre côté — agissez simplement comme un être humain.

Catch your next role the second it’s posted.

Create a free account and we’ll watch the boards for you — the instant a job matches your search, it lands in your inbox or Telegram. No digging, no refreshing.

Create free account

Free forever · takes 30 seconds · already have one?

Prenez une longueur d’avance dans votre recherche d’emploi.

Rejoignez notre canal Telegram pour ce qui vous aide à décrocher le poste — références salariales, le pouls hebdomadaire du marché et les annonces de nouveautés. Pas de spam, que du signal.

Rejoindre le canal — c’est gratuit