LeanData

Machine Learning Engineer

Santa Clara, California, United States

$135,000 – $200,000Compensation
Junior (1 to 2 years)Experience Level
Full TimeJob Type
UnknownVisa
Information Technology & ServicesIndustries

Job Description: Machine Learning Engineer

Position Overview

  • Location Type: Onsite (Santa Clara, CA)
  • Job Type: Full-Time
  • Salary: $135K - $200K

LeanData is seeking a curious and innovative Machine Learning Engineer to build AI-driven solutions for analyzing customer journey and go-to-market data. The ideal candidate will explore, experiment, and collaborate with cross-functional teams to develop a product uncovering insights tied to customer success. The role is based in Santa Clara, CA, with a requirement to be in the office Mondays and Wednesdays each week, with lunch provided on those days.

Requirements

  • Experience: 3+ years of experience in machine learning with hands-on experience building and deploying ML models.
  • Programming Skills: Strong ability to experiment with and explore diverse AI/ML libraries and tools. Comfortable working with Python or similar programming languages for data analysis and model development.
  • Education: Master’s degree in Machine Learning or Computer Science (heavily focused on Machine Learning/Artificial Intelligence).
  • Analytical Skills: Ability to analyze complex datasets, identify patterns, and translate findings into business-relevant insights.
  • Collaboration: Collaborative mindset with experience working in cross-functional teams.
  • Pipeline Experience: Experience building and maintaining robust data and machine learning pipelines, including preprocessing, model training, and deployment workflows.
  • Communication Skills: Excellent verbal and written communication skills to present findings and recommendations to technical and non-technical stakeholders.

Responsibilities

  • Research, prototype, and experiment with a variety of AI/ML libraries, frameworks, and tools to identify the best approaches for analyzing go-to-market data.
  • Analyze findings from experiments and provide clear, actionable recommendations on optimal AI/ML methodologies and technologies.
  • Collaborate with product and engineering teams to design, develop, and deploy a scalable AI-powered product that delivers insights into go-to-market strategies and their impact on success.
  • Build, evaluate, and optimize machine learning models to ensure high performance, accuracy, and scalability.
  • Stay updated on emerging AI/ML trends, tools, and techniques that can be used incorporated into the product.

Application Instructions

  • Information not provided in the job description.

Company Information

  • Company: LeanData
  • Benefits:
    • Employee insurance premiums covered up to 90%
    • Stock options for all full-time employees
    • Flexible PTO
    • 401K plan
  • Bonus Points: Familiarity with natural language processing (NLP), prior experience contributing to the development of a customer-facing AI product, and familiarity with data processing tools and AWS.

Skills

Machine Learning
Python
Data Analysis
Model Deployment
Data Pipelines
AI Libraries
ML Frameworks
Cross-Functional Collaboration

LeanData

Automates lead routing for Salesforce users

About LeanData

LeanData automates go-to-market operations to enhance productivity within Salesforce by optimizing lead routing processes. This involves directing potential customer information to the appropriate sales or marketing teams, allowing businesses to follow up on leads more quickly and effectively. LeanData's software solutions enable clients to visualize and adapt their lead management workflows based on data-driven insights. The company's goal is to help sales, marketing, and revenue operations teams work more efficiently, ultimately driving increased revenue.

Sunnyvale, CaliforniaHeadquarters
2012Year Founded
$41.4MTotal Funding
SERIES_CCompany Stage
Consulting, Enterprise SoftwareIndustries
201-500Employees

Benefits

Employee insurance covered up to 90%
Stock options for all full-time employees
Flexible vacation program
401k plan

Risks

Emerging startups offer cheaper lead routing solutions, threatening LeanData's market share.
Salesforce's native lead routing features could reduce LeanData's demand.
Economic downturns may lead to reduced spending on LeanData's solutions.

Differentiation

LeanData excels in Lead-to-Account Matching and Routing solutions.
The platform integrates seamlessly with Salesforce, enhancing CRM capabilities.
LeanData offers a unified approach to sales and marketing operations.

Upsides

Rising demand for AI-driven lead scoring boosts LeanData's market potential.
Remote work trends increase the need for LeanData's cloud-based solutions.
Emphasis on data privacy aligns with LeanData's secure data management features.

Land your dream remote job 3x faster with AI