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Algorithms Engineer Jobs in New York (NOW HIRING)

Pivotal Solutions

Senior AI Engineer

Manhattan, NY · On-site

$115K - $158K/yr

Algorithm Development: Design and implement state-of-the-art generative AI algorithms, such as GANs, VAEs, Transformers, and other deep generative models, to enhance media buying decisions. Algorithm ...

Millennium Management LLC

Front End Engineer

New York, NY · On-site

$175K - $250K/yr

You will work closely with UI engineers, algorithmic developers, product, quantitative, and backend engineering teams to deliver real-time data visualizations, workflows, and dashboards that support ...

Norbert Health

Signal Processing Engineer

New York, NY · On-site

You'll develop and validate algorithms that extract clinical-grade physiological signals (heart rate, blood pressure, respiration) from camera data, working closely with computer vision engineers in ...

Norbert Health

Signal Processing Engineer

New York, NY · On-site

You'll develop and validate algorithms that extract clinical-grade physiological signals (heart rate, blood pressure, respiration) from camera data, working closely with computer vision engineers in ...

Peraton

Senior Research Engineer

Red Bank, NJ · On-site

$107K - $147K/yr

Design and select algorithms; specify them precisely through flowcharts, sequence diagrams ... Produce the systems-engineering artifacts that align the team: architecture sketches, data-flow and ...

Peraton

Senior Research Engineer

Red Bank, NJ · On-site

$107K - $147K/yr

Design and select algorithms; specify them precisely through flowcharts, sequence diagrams ... Produce the systems-engineering artifacts that align the team: architecture sketches, data-flow and ...

Peraton

Senior Research Engineer

Red Bank, NJ · On-site

$135K - $216K/yr

Design and select algorithms; specify them precisely through flowcharts, sequence diagrams ... Produce the systems-engineering artifacts that align the team: architecture sketches, data-flow and ...

Celonis

Staff Software Engineer

New York, NY

Within our Query Engine and Core Mining teams, we are looking for a Staff Software Engineer, who develops and implements new features and algorithms for our core engine and increases the reliability ...

Genius Sports

AI Engineer

New York, NY · On-site

$125K - $150K/yr

About the Role - AI Engineer, Sports AI We're looking for an AI Engineer on our Sports AI team to ... Develop and compose models, algorithms, and inference pipelines that convert sports data into ...

Genius Sports

AI Engineer

New York, NY · On-site

$125K - $150K/yr

About the Role - AI Engineer, Sports AI We're looking for an AI Engineer on our Sports AI team to ... Develop and compose models, algorithms, and inference pipelines that convert sports data into ...

Forhyre

Machine Learning Engineer

New York, NY

We are looking for a Machine Learning Engineer to help us create artificial intelligence products ... Research and implement appropriate ML algorithms and tools * Develop machine learning applications ...

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Showing results 21-40

All JobsAlgorithms Engineer JobsAlgorithms Engineer Jobs in New York

Algorithms Engineer information

See New York salary details

$58.5K

$143.7K

$211.7K

How much do algorithms engineer jobs pay per year?

As of Aug 6, 2026, the average yearly pay for algorithms engineer in New York is $143,700.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,700.00 and $161,400.00 per year, depending on experience, location, and employer.

How do algorithms engineers typically collaborate with other teams during the product development process?

Algorithms Engineers frequently work alongside cross-functional teams, including software developers, data scientists, and product managers, to ensure that algorithmic solutions are effectively integrated into products. They often participate in regular meetings to discuss requirements, share progress, and troubleshoot technical challenges. Close collaboration is essential, as algorithms must align with product goals and user needs, and Engineers may need to adjust models or optimizations based on feedback from testing or user data. This teamwork not only improves the final product but also provides valuable learning and growth opportunities for Algorithms Engineers.

What skills and qualifications are needed to thrive as an algorithms engineer?

To thrive as an Algorithms Engineer, you need a strong background in mathematics, computer science, and algorithm design, typically supported by a relevant degree. Proficiency in programming languages such as Python, C++, or Java, and experience with tools like MATLAB or TensorFlow, are commonly required, along with knowledge of data structures and optimization techniques. Analytical thinking, problem-solving abilities, and effective communication are crucial soft skills for collaborating with teams and explaining complex concepts. These skills enable the development of efficient, scalable solutions that drive technological innovation and product performance.

What is an algorithms engineer?

Algorithms Engineers are professionals who design, analyze, and implement algorithms to solve complex computational problems efficiently. They often work in fields such as software development, artificial intelligence, data science, and computer vision. Their role involves optimizing code for speed and scalability, and collaborating with other engineers and researchers to develop new solutions. Strong skills in mathematics, programming, and problem-solving are essential for this job. Algorithms Engineers play a crucial part in making software systems faster, smarter, and more reliable.

What is the difference between Algorithms Engineer vs Data Scientist?

AspectAlgorithms EngineerData Scientist
Required CredentialsBachelor's or Master's in Computer Science, Electrical Engineering, or related fieldsBachelor's or Master's in Data Science, Statistics, or related fields
Work EnvironmentDevelops algorithms for software, hardware, or embedded systemsAnalyzes data to extract insights, build models, and inform decisions
Industry UsageTech, robotics, AI, and software development companiesFinance, healthcare, marketing, and tech sectors
Common Search/ComparisonFocuses on algorithm design and optimizationFocuses on data analysis and predictive modeling

Algorithms Engineers primarily develop and optimize algorithms for software and hardware systems, while Data Scientists analyze data to generate insights and build predictive models. Both roles require strong programming skills and a background in mathematics, but they serve different purposes within technology and data-driven industries.

What are the most commonly searched types of Algorithms Engineer jobs in New York? The most popular types of Algorithms Engineer jobs in New York are:
What are popular job titles related to Algorithms Engineer jobs in New York? For Algorithms Engineer jobs in New York, the most frequently searched job titles are:
What job categories do people searching Algorithms Engineer jobs in New York look for? The top searched job categories for Algorithms Engineer jobs in New York are:
Algorithms Engineer jobs near you
Infographic showing various Algorithms Engineer job openings in New York as of July 2026, with employment types broken down into 84% Full Time, 14% Part Time, and 2% Contract. Highlights an 80% Physical, 4% Hybrid, and 16% Remote job distribution, with an average salary of $143,700 per year, or $69.1 per hour.

ML Platform Engineer

Infinity Tech Group Inc

Manhattan, NY • On-site

Other

Posted 22 days ago

Job description

Role Overview

This role will help enable algorithm development, model packaging, model registration, reproducible execution, and governed deployment workflows across imaging datasets, Integrated Data Products, and Analysis-Ready Datasets.

The role is focused on ML platform engineering, MLOps, model integration, and validation readiness rather than developing new clinical interpretation algorithms.

Key Responsibilities
  • Build and support ML / MLOps capabilities within the Global Imaging Platform.
  • Integrate ML models and workflows with GIP IDPs, ARDs, App Catalog, and model registry.
  • Support SageMaker integration as the first connected algorithm development environment.
  • Package algorithms for repeatable execution, versioning, lineage, and auditability.
  • Implement model metadata, version control, experiment tracking, and reproducible build patterns.
  • Support in-platform inferencing workflows for SageMaker-hosted or connected models.
  • Work with data engineers, architects, and validation teams to ensure traceability from dataset to model output.
  • Support CI/CD pipelines for ML model packaging, deployment, rollback, and promotion.
  • Contribute to governance, observability, monitoring, and lifecycle controls for ML models.
  • Support validation evidence generation, including documentation for GxP-ready workflows where applicable.
  • Collaborate with architects, data scientists, platform engineers, and Genentech SMEs to align ML workflows with platform standards.
  • Assist with onboarding future connected environments such as Vertex AI, Posit Workbench, and HPC.
Required Skills
  • Strong hands-on experience with Python and ML engineering libraries.
  • Experience with AWS SageMaker, model deployment, and endpoint / inference workflows.
  • Experience with MLOps, model registry, experiment tracking, model versioning, and reproducibility.
  • Familiarity with tools such as MLflow, Docker, GitHub, CI/CD pipelines, Kubernetes / EKS, or similar.
  • Experience working with data pipelines, APIs, metadata, and lineage concepts.
  • Understanding of model packaging, release management, rollback, and environment reproducibility.
  • Ability to work with cross-functional teams across architecture, data engineering, validation, and product teams.
  • Strong documentation skills for technical designs, implementation notes, and validation evidence.
Preferred Skills
  • Experience in life sciences, clinical imaging, healthcare AI, or regulated data platforms.
  • Familiarity with imaging formats and workflows such as DICOM, radiology, ophthalmology, or digital pathology.
  • Experience with PyTorch, TensorFlow, or similar ML frameworks.
  • Exposure to GxP, SaMD, validation, audit trail, traceability, or 21 CFR Part 11-aligned environments.
  • Experience integrating ML models into enterprise platforms or application catalogs.
  • Experience with cloud-native architecture and observability dashboards.
Expected Deliverables
  • ML model packaging and registration workflows.
  • SageMaker integration support for GIP algorithm framework.
  • Reproducible ML execution patterns.
  • Model metadata, lineage, and versioning implementation.
  • ML lifecycle documentation and technical implementation notes.
  • Support for validation evidence and audit-readiness documentation.
  • Support for model deployment, monitoring, and rollback workflows.
Qualifications
  • Bachelor s or Master s degree in Computer Science, Data Science, Engineering, Biomedical Engineering, or related field.
  • 6+ years of experience in ML engineering, MLOps, or applied AI platform development.
  • Prior experience supporting enterprise-scale ML platforms or regulated data environments is preferred.

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