Full-Time

Senior Machine Learning Engineer

Parspec

Parspec

51-200 employees

Compensation Overview

$180k - $240k/yr

+ Discretionary Bonus + Equity Options

San Mateo, CA, USA

Hybrid

Preferred location: San Mateo; regular in-office presence.

Category
AI & Machine Learning (1)
Required Skills
LLM
Scikit-learn
Python
Tensorflow
Pytorch
Pandas
NumPy
Requirements
  • 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.
Responsibilities
  • Search & Ranking 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.
  • 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.
  • 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.
  • 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
Desired Qualifications
  • Vector Databases (e.g., Pinecone, Milvus) and optimizing embedding models for retrieval.
  • Fine-tuning LLMs for specialized domain tasks and ranking signals.
  • Agentic frameworks (e.g., LangGraph, AutoGen, or CrewAI) for building complex, multi-step reasoning chains.
  • Memory and planning strategies such as ReAct or Tree of Thoughts.
  • Algorithms and data structures expertise.
  • Publications in top-tier conferences (e.g., NeurIPS, SIGIR, KDD, ACL) or significant contributions to open-source ML projects.

Company Size

51-200

Company Stage

Series A

Total Funding

$31.5M

Headquarters

Columbus, Ohio

Founded

2020

Simplify Jobs

Simplify's Take

What believers are saying

  • Parspec achieved 4x revenue growth in past year post-$20M Series A on July 8, 2025.
  • Project Management launched April 8, 2026 boosts win rates 6% and billing 10% faster.
  • Sales Management adopted by 100+ rep agencies and 2,400 reps for full lifecycle automation.

What critics are saying

  • Procore's AI procurement module commoditizes matching using 2M+ users in 12-24 months.
  • Autodesk bundles rival AI into BIM suite, locking out Parspec's 288 distributors in 6-12 months.
  • OpenAI agents scrape 10,000+ sites, destroying Parspec's 4,000-site data moat in 18-24 months.

What makes Parspec unique

  • Parspec's AI instantly matches products to complex specs from 4,000+ manufacturer sites.
  • Parspec serves four of five largest U.S. electrical distributors representing $70B sales.
  • Parspec's proprietary dataset covers 6 million products via daily multimodal AI processing.

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Benefits

Health Insurance

401(k) Retirement Plan

Unlimited Paid Time Off

Flexible Work Hours

Hybrid Work Options

Growth & Insights and Company News

Headcount

6 month growth

-3%

1 year growth

5%

2 year growth

-1%
Built In San Francisco
Jul 9th, 2025
Parspec Secures $20M to Expand Its AI-Native Procurement Platform

Parspec, a software company headquartered in San Mateo, pulled in a $20 million Series A round spearheaded by Threshold Ventures.

Benzinga
Jul 8th, 2025
Parspec Raises $20M to Modernize Construction

Parspec, an AI-native software platform, raised $20 million in Series A funding led by Threshold Ventures. The funding will help Parspec modernize the construction supply chain by expanding its platform to support the full order lifecycle. Parspec has achieved 4x revenue growth in the past year and plans to invest in product development, including a Distributor Order Management system and a Contractor Portal, with a commercial launch expected by the end of 2025.

EdisonReport
Jul 8th, 2025
Parspec Raises $20 Million Series A to Modernize the Construction Supply Chain with AI

Parspec raises $20 million Series A to modernize the construction Supply Chain with AI.

Crunchbase
Jul 8th, 2025
Exclusive: AI-Powered Construction Procurement Startup Lands $20M Series A

Parspec, a startup using artificial intelligence to improve efficiency in the construction industry supply chain, has raised $20 million in a Series A funding, the company told Crunchbase News exclusively.

PYMNTS
Dec 10th, 2024
Data Quality: The Unsung Hero Of Ai-Powered B2B Procurement

An efficient business-to-business (B2B) procurement process can separate the wheat from the chaff. Procurement has the potential to become a strategic lever for value creation and protection, going beyond traditional cost, quality and delivery metrics. With the news that Feenix.ai has integrated with Buy with AWS, offering custom storefronts for streamlined software procurement, simplifying AWS Marketplace purchases for B2B customers, savvy B2B executives are wising up to the idea that artificial intelligence (AI) is emerging as a force in procurement. AI’s ability to process vast amounts of data and identify patterns has reshaped procurement processes. From supplier selection and demand forecasting to dynamic pricing and risk management, AI tools are helping procurement teams make faster, smarter decisions