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Algorithms Engineer Jobs in Massachusetts (NOW HIRING)

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Lead Algorithm & Signal Processing Engineer

Woburn, MA · On-site

$157K - $220K/yr

... algorithms and prototype systems for next-generation radar and electronic warfare technologies ... We investigate cutting edge technologies and interface with engineers across sectors and divisions ...

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Algorithms Engineer information

See Massachusetts salary details

$58.4K

$143.4K

$211.3K

How much do algorithms engineer jobs pay per year?

As of Jul 16, 2026, the average yearly pay for algorithms engineer in Massachusetts is $143,449.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,500.00 and $161,100.00 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 are the key skills and qualifications needed to thrive as an Algorithms Engineer, and why are they important?

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 are Algorithms Engineers?

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 Massachusetts? The most popular types of Algorithms Engineer jobs in Massachusetts are:
What are popular job titles related to Algorithms Engineer jobs in Massachusetts? For Algorithms Engineer jobs in Massachusetts, the most frequently searched job titles are:
What job categories do people searching Algorithms Engineer jobs in Massachusetts look for? The top searched job categories for Algorithms Engineer jobs in Massachusetts are:
What cities in Massachusetts are hiring for Algorithms Engineer jobs? Cities in Massachusetts with the most Algorithms Engineer job openings:
Algorithms Engineer jobs near you
Infographic showing various Algorithms Engineer job openings in Massachusetts as of July 2026, with employment types broken down into 79% Full Time, 18% Part Time, 1% Temporary, and 2% Contract. Highlights an 76% Physical, 4% Hybrid, and 20% Remote job distribution, with an average salary of $143,449 per year, or $69 per hour.
Technical Director - ML & Algorithms

Technical Director - ML & Algorithms

Rocket Software, Inc.

Waltham, MA • On-site

Full-time

Medical, Life, Retirement, PTO

This job post has expired today. Applications are no longer accepted.

Job description

It's fun to work in a company where people truly BELIEVE in what they're doing!
Job Description Summary:
Rocket Software, a leading provider of enterprise modernization software, is expanding its AI strategy in support of its vision of Modernization Without Disruption. With established offerings such as SmartChat, Anomalytics, and Rocket EVA, Rocket has deep experience applying AI to complex, mission-critical enterprise systems.
Rocket is seeking a Technical Leader to join its AI Center of Excellence (AI COE) and shape the machine learning and algorithmic foundations of its mainframe operational analytics products. The Technical Director for Machine Learning & Algorithms will define and drive how large-scale ML systems and advanced algorithms are applied to mainframe operational data to deliver monitoring, analysis, optimization, risk detection, and modernization insights.
This role is deeply grounded in operations and telemetry with a focus on extracting signal from high-volume, high-fidelity sources such as SMF, RMF, log streams, workload metrics, and system events. The role is hands-on and operates as a player-coach, working directly with enterprise teams across the full lifecycle of feature development. The role leads through technical expertise and influence across reporting boundaries and helps establish consistent best practices across Rocket. Come join our team for an opportunity to shape the application of machine learning across Rocket and the broader enterprise modernization landscape.
Essential Duties & Responsibilities
  • Define and lead Rocket's machine learning and algorithmic strategy across Infra, App and Data modernization business lines.
  • Extend that strategy across Rocket's enterprise analytics platforms, including in-database and embedded ML capabilities, to ensure architectural consistency and reuse.
  • Act as a hands-on technical leader working with product and engineering teams throughout the full feature lifecycle, from problem framing and model selection to validation, delivery, and operationalization.
  • Architect large-scale ML and data processing systems that operate on high-volume operational data, including z/OS telemetry, SMF/RMF records, logs, workload metrics, and enterprise analytics datasets.
  • Design and implement advanced algorithms and statistical models for anomaly detection, pattern analysis, forecasting, optimization, classification, and modernization insights.
  • Guide the use and evolution of in-database ML and analytics capabilities, including regression, classification, clustering, and time-series techniques, ensuring they are applied correctly, efficiently, and at scale.
  • Establish ML architectures, technical standards, and best practices that span feature engineering, model training, evaluation, explainability, deployment, and lifecycle management.
  • Ensure ML-driven insights are explainable, inspectable, and aligned with governance and compliance expectations, particularly in regulated and mission-critical environments.
  • Collaborate closely with domain experts in mainframe operations, performance, security, and data platforms to translate deep system knowledge into scalable, data-driven intelligence.
  • Lead across reporting boundaries by influence and technical credibility rather than hierarchy, helping teams solve complex problems at all stages of feature development and delivery.
  • Partner with Product and Architecture leadership to shape long-term strategy for operational analytics, AI-assisted modernization, and analytics platform evolution.
  • Engage with enterprise customers to understand real-world operational and analytical constraints and validate ML-driven solutions.
  • Mentor Principal Engineers and senior technical staff, raising the bar for ML rigor, systems thinking, and operational relevance across Rocket.
  • Contribute internal and external thought leadership on applied ML for mainframe operations, enterprise analytics, and responsible AI.

Required Qualifications
  • 12+ years of experience in software engineering, ML systems, or advanced algorithm development.
  • Proven experience owning and delivering ML or algorithmic systems into production at scale.
  • Strong background in large datasets, distributed processing, and end-to-end ML system design.
  • Solid coding skills in Python and Java, with foundations in optimization, statistics, and applied mathematics.
  • Experience building ML or analytics solutions tied to system behavior, performance, observability, or operational telemetry.
  • Demonstrated ability to operate effectively across teams and organizations through technical leadership and influence.
  • Track record of mentoring senior technical talent and working as a player-coach.
  • Preferred Qualifications
  • Strong experience with mainframe systems and data sources such as z/OS, SMF, RMF, Db2, RACF, or mainframe performance analytics.
  • Experience with analytics databases or in-database ML systems, including model training, evaluation, and execution close to data.
  • Familiarity with regression, classification, clustering, and time-series techniques used in production analytics systems.
  • Experience designing explainable, auditable, or compliance-aware ML solutions.
  • Familiarity with distributed computing frameworks or ML platforms such as Spark, Flink, Ray, or cloud ML pipelines.
  • PhD in Computer Science, Machine Learning, or a related field.
  • Publications, patents, or conference contributions in ML, algorithms, systems analytics, or operational monitoring.
    #LI-Remote

Annual salary range for this position is between $200,500 - $270,000 gross before taxes.
What Rocket Software can offer you in USA:
  • Unlimited Vacation Time as well as paid holidays and sick time
  • Health and Wellness coverage options for Rocketeers and dependents
  • Life and disability coverage
  • Fidelity 401(k) and Roth Retirement Savings with matching contributions
  • Monthly student debt benefit program
  • Tuition Reimbursement and Certificate Reimbursement Program opportunities
  • Leadership and skills training opportunities

EOE M/F/Vet/Disability. Rocket Software Inc. is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. Rocket Software Inc. is also committed to compliance with all fair employment practices regarding citizenship and immigration status.
Rocket is committed to working with and providing reasonable accommodation to individuals with physical and mental disabilities. If you need special assistance or an accommodation while seeking employment, please call: 781-577-4321 or send an email to people@rocketsoftware.com. We will make a determination on your request for reasonable accommodation on a case-by-case basis.
As part of our commitment to a safe and trustworthy workplace, we include background and reference checks in our hiring process.
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!
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About Rocket Software

Sourced by ZipRecruiter

Thousands of companies around the world depend on Rocket to solve their most challenging business problems by helping them run their critical infrastructure, business processes, and data, as well as extending the value of these assets to take advantage of cloud and mobile computing, advanced analytics, and other future innovations. From the clothes we wear to the cars we drive, Rocket solutions power the back-end systems that thousands of brands interact with every day. At Rocket, software has always been about people--not just ones and zeroes. We're people solving problems for other people, and we strive to treat our customers, partners, and fellow Rocketeers with humanity.

Industry

It services

Company size

1,001 - 5,000 Employees

Headquarters location

Waltham, MA, US

Year founded

1990

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