Machine Learning Engineer for Cloud Native AI SAAS

SherlockTalent

San Francisco (CA)

On-site

USD 200,000 - 250,000

Full time

14 days+

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Benefits offered by this job

H-1B transfers possible
$1,000 bonuses for successful referrals

Job summary

Join a pioneering team at a leading company as an AI/ML & Data Ingestion Engineer. You will engage in developing cutting-edge ML models and integrating advanced technologies while driving impactful AI and machine learning projects that shape the future. Ideal candidates will possess expertise in machine learning and natural language processing, with a preference for those holding degrees in Computer Science or Engineering.

Qualifications

  • Experience in developing and validating ML models.
  • Proficiency in deep learning libraries.
  • Experience with Natural Language Processing techniques.

Responsibilities

  • Design, develop, and validate ML models for account and lead scoring.
  • Integrate LLMs into APIs and AI agents.
  • Monitor and optimize model performance.

Skills

ML Model Development
MLOps
LLM Integration
Natural Language Processing
Data Analysis

Education

Bachelors or Masters in Computer Science or Engineering

Tools

TensorFlow
Jax
PyTorch

Job description

Job Title: AI/ML & Data Ingestion Engineer

Location: Bay Area, CA

Job Type: Founding Level SWE, Full Time, 3 days onsite

Salary: Founders-level equity and $200K-$250K+

Job ID: 7335

AI/ML & Data Ingestion Engineer - Develops and optimizes machine learning models that drive the company’s sales software. Collaborates on MLOps practices and integrates large language models (LLMs) into APIs and AI agents.

Core Strengths:

  • Primary: ML Model Development
  • Secondary: MLOps and LLM Integration

Skills & Responsibilities:

  • Design, develop, and validate ML models for account scoring, lead scoring, and predictive analytics
  • Experience with deep learning libraries and platforms (e.g., TensorFlow, Jax, or PyTorch)
  • Streamline model deployment and maintenance via automated pipelines
  • Integrate LLMs into APIs and AI agents for data summarization and insights
  • Analyze large datasets to improve models and ensure data quality
  • Apply Natural Language Processing and Vector Databases techniques
  • Monitor and optimize model performance with A/B testing and other methods
  • Align models with business goals and recommend data-driven improvements

Education: Bachelors or Masters in Computer Science or Engineering preferred

Why Join Us?

Work on impactful AI and machine learning projects in a team that values innovation and collaboration.

Apply now with your ML and LLM expertise to help build the future!

About the Company:

  • Proven leadership with startup success and strong VC backing
  • Focus on customizing and optimizing existing LLMs for specific markets
  • Strategic approach tailored to market demands

SherlockTalent offers $1,000 bonuses for successful referrals. H-1B transfers are possible.

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