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David Careers

Senior Machine Learning Engineer

Posted 7 days ago

cybercodersLos Angeles (CA)
Data ScientistsComputer Systems Design Services

SENIORITY

Senior

SALARY

$180,000-$240,000

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About the role

Senior Machine Learning Engineer | AI/Healthcare | $180K-$240KJersey City, NJ or Los Angeles, CA | Hybrid | Full-TimeWe're working with a fast-growing technology company in the AI and healthcare space that's looking to add a Senior Machine Learning Engineer to its growing engineering team. This is a hands-on role focused on building machine learning models that directly power a production platform and influence real-world decision-making. You'll own models throughout the lifecycle, from experimentation and feature engineering through evaluation, deployment, and production monitoring. You'll work with complex, large-scale datasets and partner closely with engineering, data, and domain experts to develop models that are accurate, reliable, explainable, and ready for real-world use.
What You'll Do:
  • Design, train, evaluate, and improve production machine learning models
  • Perform feature engineering across time-series, sequential, and structured data
  • Own model development from experimentation through production
  • Build evaluation frameworks, backtesting systems, and model regression tests
  • Develop approaches for noisy or imperfect labels and ground truth
  • Evaluate model performance across metrics including calibration, sensitivity, specificity, and class imbalance
  • Identify and prevent issues such as temporal leakage and model degradation
  • Analyze model robustness and performance across different populations and environments
  • Partner with domain experts to define prediction targets and appropriate evaluation criteria
  • Work closely with ML infrastructure and engineering teams on deployment and serving
  • Monitor model performance in production and identify opportunities for improvement
  • Clearly communicate model behavior, tradeoffs, and limitations to technical and non-technical stakeholders
  • What You Need 5+ years of experience building machine learning models that have reached production
  • Strong Python
  • Experience with modern deep learning frameworks
  • Strong understanding of classical machine learning techniques
  • Experience working with time-series or sequential data
  • Strong model evaluation experience, including calibration, class imbalance, and temporal leakage
  • Experience building evaluation, backtesting, or model regression infrastructure
  • Strong SQL and experience working with production datasets
  • Experience owning models beyond experimentation and into real-world production use
  • Ability to communicate complex model behavior and limitations to non-technical stakeholders
  • Bachelor's degree in Computer Science, Machine Learning, Statistics, Mathematics, or a related technical field
  • Ability to work onsite in Jersey City, NJ at least 3 days per week
Nice to Have:
  • Experience building ML systems in healthcare or another regulated industry
  • Experience with physiological, sensor, clinical, or other complex time-series data
  • Experience with predictive modeling or early-warning systems
  • Experience with model validation in highly regulated environments
  • Experience performing subgroup, bias, or robustness analysis
  • Research publications, significant open-source contributions, or a strong research or engineering background
  • Startup or high-growth technology company experience
Compensation & Benefits: $180,000-$240,000 base salary + equity 100% company-paid medical, dental, and vision coverage 401(k) with company match Generous PTOCommuter stipend
Benefits:

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