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Recent Grad Machine Learning Engineer

San Francisco Bay Area
Full-time
Posted 2 days ago
Entry level
$150,000.00/yr - $200,000.00/yr
Remote
AIMLData ScienceInformation TechnologySoftware Development

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Job Description

About Asendia AI

Asendia AI is building the future of job search and hiring through AI. We help job seekers find the right opportunities through a smart AI career coach and help companies hire faster by vetting technical talent with real-time AI interviews. We work with early-stage startups, fast-growing tech companies, and top global universities.


🚀 This position is for one of Asendia AI’s trusted partners.

We’re helping them hire a Machine Learning Engineer to develop core AI systems that power real-world features—from intelligent matching to personalized candidate scoring. You’ll work in a product-driven environment with real impact, fast cycles, and the opportunity to grow quickly.


What You’ll Do

  • Design, build, and fine-tune ML models for ranking, prediction, and personalization
  • Collaborate with engineering to deploy models into production
  • Develop data pipelines to support training and inference workflows
  • Analyze performance, run experiments, and iterate on improvements
  • Contribute to model evaluation, explainability, and ongoing optimization
  • Research new ML approaches and apply them to real user problems


What We’re Looking For

  • 0–2 years of experience in machine learning or applied data science
  • Strong Python skills with experience in ML libraries (e.g., Scikit-learn, PyTorch, TensorFlow)
  • Solid understanding of ML fundamentals (classification, regression, evaluation metrics)
  • Experience working with structured data and real-world datasets (Pandas, SQL)
  • Strong problem-solving ability and clear communication
  • Comfort working in a collaborative, remote-first team


Nice to Have

  • Experience in NLP, embeddings, or recommendation systems
  • Familiarity with ML Ops tools (MLflow, Airflow, Weights & Biases)
  • Experience with cloud platforms (AWS, GCP, or Azure)
  • Startup or fast-paced product development experience

Source: LinkedIn
Over 200 applicants

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