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Senior Bioinformatics Machine Learning Jobs in New York

As a Senior Machine Learning Engineer, you will play a critical role in building, scaling, and operating production-grade ML systems that drive real-time personalization across the Attentive platform.

Senior Machine Learning Engineer

Jersey City, NJ · On-site

$127K - $168K/yr

As a Senior Machine Learning Engineer, you'll play a crucial role in optimizing orchestration processes and ensuring fast and efficient model deployment and delivery. You'll work closely with ...

Senior Machine Learning Engineer

New York, NY · On-site

$114K - $157K/yr

About the Role We're seeking a Senior Machine Learning Engineer to develop and deploy machine learning solutions for consumer growth, including fraud detection, pricing optimization, and user ...

Senior Machine Learning Engineer

Manhattan, NY · On-site

$115K - $158K/yr

They are seeking a Senior Machine Learning Engineer to enhance their machine learning infrastructure and collaborate with cross-functional teams to deliver impactful ML solutions. Responsibilities ...

We are seeking an analytical and innovative Senior Machine Learning Engineer to join our Data & AI team. You will play a key role in developing and deploying advanced machine learning models to solve ...

Showing results 21-40

Senior Bioinformatics Machine Learning information

What is the difference between Senior Bioinformatics Machine Learning vs Bioinformatics Data Analyst?

AspectSenior Bioinformatics Machine LearningBioinformatics Data Analyst
Required CredentialsAdvanced degrees in bioinformatics, computer science, or related fields; experience with machine learningBachelor's or master's in bioinformatics, biology, or related fields; proficiency in data analysis tools
Work EnvironmentResearch labs, biotech companies, or pharma; focus on developing ML modelsData interpretation, reporting, and visualization in research or clinical settings
Employer & Industry UsageUsed in biotech, pharma, research institutions for complex data modelingCommon in healthcare, research, and biotech for data management and reporting

The main difference is that Senior Bioinformatics Machine Learning specialists focus on developing and applying machine learning models to biological data, requiring advanced technical skills. Bioinformatics Data Analysts primarily interpret and visualize data, with less emphasis on machine learning techniques.

What are the most commonly searched types of Bioinformatics Machine Learning jobs in New York? The most popular types of Bioinformatics Machine Learning jobs in New York are:
What job categories do people searching Senior Bioinformatics Machine Learning jobs in New York look for? The top searched job categories for Senior Bioinformatics Machine Learning jobs in New York are:
What cities in New York are hiring for Senior Bioinformatics Machine Learning jobs? Cities in New York with the most Senior Bioinformatics Machine Learning job openings:
Infographic showing various Senior Bioinformatics Machine Learning job openings in New York as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution.

Senior Machine Learning Engineer

Attentive

New York, NY

$244K - $320K/yr

Full-time

Re-posted 21 hours ago


Job description

About the Role

Our Machine Learning Engineering team powers personalized experiences for hundreds of millions of customers across thousands of brands. As a Senior Machine Learning Engineer, you will play a critical role in building, scaling, and operating production-grade ML systems that drive real-time personalization across the Attentive platform.

You will operate with a high degree of ownership, partner closely with Product and Engineering, and help raise the technical bar across our ML systems in a fast-paced, high-impact environment.

What You'll Accomplish

  • Design, build, and operate scalable machine learning systems used in real-time targeting, decisioning, personalization systems
  • Own ML projects end-to-end, from data exploration and modeling to deployment, monitoring, and iteration
  • Proactively safeguard model and system quality through testing, monitoring, validation, and alerting
  • Collaborate cross-functionally with product, data, and other engineering partners to translate business problems into ML solutions
  • Continuously improve system reliability, performance, and engineering efficiency
  • Contribute to technical direction and best practices across the ML engineering team
  • Mentor and support other engineers through code reviews, design discussions, and knowledge sharing
  • Thrive in a high-impact, fast-paced, late-stage startup environment

Your Expertise

  • 6+ years of professional experience building production machine-learning software systems
  • Proven experience owning ML systems long enough to see the downstream impact of design decisions
  • Strong proficiency in Python and experience with ML frameworks such as PyTorch, TensorFlow, or xgboost
  • Experience with data processing and analytics tools such as pandas, Spark, SQL, and matplotlib
  • Hands-on experience building automated pipelines for data processing, model training, validation, and deployment
  • Experience collaborating with cross-functional teams to deliver ML-powered features
  • Strong communication skills and a high sense of ownership

What We Use

  • Our backend is Java / Kotlin / Spring Boot microservices, built with Gradle, coupled with things like DynamoDB, Aurora, AirFlow, Postgres, and Redis, hosted via AWS
  • Our infrastructure runs primarily in Kubernetes hosted in AWS's EKS, using tooling like Istio, Datadog, Terraform, CloudFlare, and Helm
  • Our frontend is built with React and TypeScript, and uses best practices like GraphQL, Storybook, Radix UI, Vite, esbuild, and Playwright
  • Our automation is driven by custom and open source machine learning models, industry-leading LLMs, lots of data and tech like Python, Metaflow, HuggingFace, PyTorch, TensorFlow, and Pandas

You'll get competitive perks and benefits, from health & wellness to equity, to help you bring your best self to work.

For US based applicants:

  • The US base salary range for this full-time position is $244,000 - 320,000 annually + equity + benefits
  • Our salary ranges are determined by role, level and location

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