Senior Machine Learning Engineer - Hybrid

CyberCoders; Jersey City (NJ); Hybrid; USD 180,000 - 240,000; Full time

Benefits offered by this job

100% company-paid medical, dental, and

vision coverage

401(k) with company match

Generous PTO

Commuter stipend

Job summary

CyberCoders is seeking a Senior Machine Learning Engineer in Jersey City, NJ to build and own production ML models powering a fast-growing AI/Healthcare platform. This hands-on role emphasizes experimentation, deployment, and monitoring in a production setting.

You will work with time-series and structured data, collaborate with engineering and domain experts, and drive model improvements from development to production, with a strong emphasis on reliability and explainability.

Qualifications

• 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

Responsibilities

• 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

Skills

Python

Production ML

Time-series data

SQL

Model evaluation

Communication

Education

Bachelor's degree in Computer Science, Machine Learning, Statistics, Mathematics, or a related technical field

Job description

Senior Machine Learning Engineer | AI/Healthcare | $180K-$240K

Jersey City, NJ | Hybrid | Full-Time

We'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 PTO
• Commuter stipend

Benefits