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Software Engineer Applied Math Jobs in Manhattan, NY

About the Role We're looking for a Senior Software Engineer to join our team and apply ML/AI ... Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a related field

Software Engineer, Applied AI

Manhattan, NY ยท On-site

$140 - $210/hr

About the Role You'll work closely with product, research-adjacent teammates, and other engineers to make sure agents aren't just capable, but reliable, steerable, and worth trusting with real work.

About the Role We're looking for a Senior Software Engineer to join our team and apply ML/AI ... Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a related field

Software Engineer, Applied AI

Manhattan, NY ยท On-site

$180 - $260/hr

About the Role You'll work closely with product, research-adjacent teammates, and other engineers to make sure agents aren't just capable, but reliable, steerable, and worth trusting with real work.

Software Engineer, Applied AI

New York, NY ยท On-site

$170K - $300K/yr

About the Role You'll work closely with product, research-adjacent teammates, and other engineers to make sure agents aren't just capable, but reliable, steerable, and worth trusting with real work.

Senior Software Engineer -- Applied AI

Manhattan, NY ยท On-site

$134K - $177K/yr

They are seeking a Senior Software Engineer to develop reasoning-driven systems using cutting-edge LLMs, collaborating with product design and owning full-stack AI product features. Responsibilities ...

... applied AI that drives real productivity gains and transforms how the global supply chain operates ... This is a platform-engineering role first, so you'll go where the priorities are: the ...

Showing results 21-40

Software Engineer Applied Math information

See Manhattan, NY salary details

$70.1K

$162.8K

$226.8K

How much do software engineer applied math jobs pay per year?

As of Aug 23, 2026, the average yearly pay for software engineer applied math in Manhattan, NY is $162,811.00, according to ZipRecruiter salary data. Most workers in this role earn between $132,400.00 and $190,900.00 per year, depending on experience, location, and employer.

What is a software engineer applied math?

A Software Engineer in Applied Math develops and implements mathematical models, algorithms, and simulations to solve complex problems in various domains such as finance, engineering, and data science. They use programming languages like Python, C++, or MATLAB to create efficient solutions based on numerical analysis, optimization, and machine learning. This role often involves collaborating with scientists, analysts, and engineers to enhance computational methods and improve decision-making processes.

What types of projects does a software engineer applied math typically work on?

Software Engineers specializing in Applied Math are often involved in developing algorithms, simulations, and analytical software that solve complex, real-world problems in fields like finance, engineering, machine learning, or data science. Daily responsibilities may include implementing mathematical models, optimizing existing code for performance, and collaborating with cross-disciplinary teams to refine solutions. Depending on the employer, you might work on projects such as risk modeling, signal processing, optimization engines, or predictive analytics tools. This role frequently requires balancing theoretical problem solving with practical software implementation to deliver robust, scalable applications. Working closely with researchers, data scientists, and other engineers, you will contribute to innovation and technical excellence in your organization's projects.

What are the key skills and qualifications needed to thrive as a software engineer applied math?

To thrive as a Software Engineer Applied Math, you need a solid background in computer science, mathematical modeling, and software engineering, often supported by a relevant degree such as computer science, applied mathematics, or engineering. Expertise in programming languages (such as Python, C++, or MATLAB), experience with numerical libraries and data analysis tools, and familiarity with version control systems are typically required. Strong analytical thinking, effective problem-solving, and the ability to communicate complex technical concepts are important soft skills for this role. These skills enable you to build efficient software solutions for complex mathematical problems, drive innovation, and collaborate effectively within technical teams.

Can you get a software engineer applied math job with a math degree?

A math degree can qualify you for a software engineer applied math position, especially if you have strong programming skills in languages like Python, C++, or Java, and experience with algorithms, data structures, and numerical methods. Employers often value analytical thinking and problem-solving abilities gained through a math background, but practical coding experience and familiarity with software development tools are also important. Additional certifications or coursework in computer science can enhance your chances of securing such roles.

What jobs can I do with a software engineer applied math degree?

A software engineer with an applied math degree can pursue roles such as data scientist, quantitative analyst, machine learning engineer, or software developer. These positions often require strong programming skills in languages like Python or C++, knowledge of algorithms, and experience with data analysis tools or mathematical modeling. Such roles are common in finance, technology, research, and analytics industries.

What are popular job titles related to Software Engineer Applied Math jobs in Manhattan, NY?

For Software Engineer Applied Math jobs in Manhattan, NY, the most frequently searched job titles are:

What job categories do people searching Software Engineer Applied Math jobs in Manhattan, NY look for?

The top searched job categories for Software Engineer Applied Math jobs in Manhattan, NY are:

Infographic showing various Software Engineer Applied Math job openings in Manhattan, NY as of August 2026, with employment types broken down into 1% As Needed, 86% Full Time, 9% Part Time, and 4% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $162,811 per year, or $78.3 per hour.

Senior Software Engineer, Applied ML

Current

New York, NY โ€ข On-site

$200K - $250K/yr

Full-time

Medical, Dental, Vision, Retirement

Re-posted 8 days ago


Job description

Current is a leading consumer fintech platform transforming financial access for everyday Americans with over 6 million members. We provide access to financial solutions that seamlessly work together to solve the needs of our members and enable all Americans to build better financial futures. Based in NYC, our results-driven environment drives us to build better products, grow faster and empower everyone on our team to have an impact on our business and mission to improve financial outcomes.
Current's Engineering team is dedicated to building our products and infrastructure. With our applications running on Google Cloud Kubernetes Engine, we support a proprietary banking core that can scale to handle millions of transactions a day. Our stack includes MongoDB and Spanner for persistence, Pub/Sub for asynchronous event processing, Dataflow for data transformation paired with BigQuery and Google Cloud Storage for data storage and analytics. Our backend services are written in Java and our data pipelines are built in Scala.
We work across a broad set of domains, including user-facing products like liquidity offerings and reward programs, infrastructure for machine learning and experimentation, real-time fraud detection and identity protection, and large-scale transaction processing across multiple payment rails.
About the Role
We're looking for a Senior Software Engineer to join our team and apply ML/AI techniques to solve business problems at scale. You'll find creative ways to apply ML where it can move the needle, leverage existing tooling and frameworks, and ship production solutions that deliver measurable impact. The ideal candidate is a strong backend engineer with hands-on ML experience who thrives on turning business problems into production ML solutions. This role has a salary range of $200,000 - $250,000.
What You'll Work On
Our work spans many areas, and here are a few examples of active problem spaces:
  • Predictive models for user conversion that directly reduce acquisition costs
  • Mining customer and transaction data to surface insights that shape product strategy
  • Applying LLMs creatively to interpret customer behavior and make sense of unstructured data
  • Real-time fraud detection, identity protection, and transaction decisioning

Responsibilities
  • Owning end-to-end delivery of ML-powered initiatives from problem discovery through system design to production launch
  • Building and evolving systems across the backend and ML stack, from microservices and data pipelines to feature engineering and model tooling
  • Evolving org-wide engineering standards for architecture, testing, and monitoring practices and documentation
  • Mentoring engineers through code and architecture reviews, raising the technical bar of the team
  • Partnering with data science, product engineering, and infrastructure teams to shape the data and ML strategy and drive adoption of ML solutions across products

Required Qualifications
  • 5+ years of software engineering experience, with backend experience using a JVM language, preferably Java
  • 2+ years of building and deploying ML models in production
  • Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a related field
  • Solid understanding of algorithms, data structures and object-oriented design
  • Experience with cloud-hosted services, like AWS or GCP
  • Experience with relational and NoSQL databases
  • Experience working closely with data science and infrastructure teams
  • Strong problem-solving and communication skills

Nice-to-Have Qualifications
  • Experience with Scala or Python
  • Hands-on experience applying LLMs or other AI tooling to production use cases
  • Exposure to ML platforms such as SageMaker, Vertex AI, or Kubeflow

Benefits
  • Competitive salary
  • Meaningful equity in the form of stock options
  • 401(k) plan
  • Discretionary performance bonus program
  • Biannual performance reviews
  • Medical, Dental and Vision premiums covered at 100% for you and your dependents
  • Flexible time off and paid holidays
  • Generous parental leave policy
  • Commuter benefits
  • Fitness benefits
  • Healthcare and Dependent care FSA benefit
  • Employee Assistance Programs focused on mental health
  • Healthcare advocacy program for all employees
  • Access to mental health apps
  • Team building activities
  • Our modern NYC based office with open floor plan, stocked kitchen, and catered lunches