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Algorithms Engineer Jobs in Massachusetts (NOW HIRING)

STR

Lead Algorithm & Signal Processing Engineer

Boston, 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 ...

STR

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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All JobsAlgorithms Engineer JobsAlgorithms Engineer Jobs in Massachusetts

Algorithms Engineer information

See Massachusetts salary details

$58.4K

$143.4K

$211.3K

How much do algorithms engineer jobs pay per year?

As of Jun 26, 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 June 2026, with employment types broken down into 63% Full Time, 31% Part Time, 3% Temporary, and 3% Contract. Highlights an 79% Physical, 3% Hybrid, and 18% Remote job distribution, with an average salary of $143,449 per year, or $69 per hour.
Senior Machine Learning Engineer (Data Science Algorithms)

Senior Machine Learning Engineer (Data Science Algorithms)

Whoop

Boston, MA

$150K - $210K/yr

Full-time

Posted 12 days ago

Job description

WHOOP is an advanced health and fitness wearable, on a mission to unlock human performance. WHOOP empowers its members to improve their health and perform at a higher level by providing a deep understanding of their bodies and daily lives.
 
Our data science algorithms teams are responsible for developing novel algorithms and features that expand our health and fitness capabilities with medical-grade metrics. We combine continuous physiological data with clinical research and expert knowledge to generate features that are both scientifically grounded and deeply impactful for members. Currently, we have two Senior MLE roles open across two teams: 
 
DS Health team: novel algorithms within the domains of women's health, multimodal longitudinal health insights, and SaMD
DS Core Algos team: performance-related insights for sleep, recovery, or exercise
 
As a Senior Machine Learning Engineer on our Core Algos or Health team, you will design, build, and productionize ML systems that deliver meaningful, personalized health metrics to millions of members. You will work at the intersection of data science, backend engineer, and cloud infrastructure – deploying robust, scalable, and reliable ML solutions build on physiological and behavioral data streams. This role emphasizes strong coding skills, system design, and ability to deliver production-ready ML systems. 
RESPONSIBILITIES:
  • Create, improve, and maintain production services that provide analysis for health features in collaboration with data scientists and MLOps engineers
  • Collaborate with data engineers to improve ML data pipelines, tooling, and validation systems that support robust model performance
  • Work alongside data scientists to translate research prototypes into production ML systems optimized for scale, latency and cost efficiency
  • Collaborate with researchers and product teams to align model development with physiological insights and member impact
  • Participate in on-call rotations for data science services, ensuring uptime and performance in production environments
QUALIFICATIONS:
  • Bachelor's Degree in Computer Science, Data Science, Applied Mathematics, or a related field (Master’s preferred). 
  • 4+ years of professional experience as a ML engineer, applied researcher, or software engineer with a focus on ML systems
  • Strong coding skills in Python with a track record of writing clean, production-quality code
  • Experience designing, deploying and operating ML inference systems at scale (real-time streaming and/or large-scale batch)
  • Strong fundamentals in backend/service development (APIs, reliability, monitoring, debugging) as it relates to serving ML models
  • Experience deploying and maintaining ML systems on cloud platforms (AWS or GCP), including CI/CD and observability practices
  • Familiarity with applied ML development (frameworks, evaluation criteria, performance validation) and translating prototypes into production systems
  • Preferred: 2+ years of experience applying advanced mathematical and statistical techniques
  • Preferred: Experience working with time series data (wearable, physiological, or high-frequency sensor data) 
This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office. 
 
Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply.
 
WHOOP is an Equal Opportunity Employer and participates in E-verify to determine employment eligibility.  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.
 
At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success.
 
The U.S. base salary range for this full-time position is $150,000-$210,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training. 
 
In addition to the base salary, the successful candidate will also receive benefits and a generous equity package.
 
These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements.
 
Learn more about WHOOP.
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About Whoop

Sourced by ZipRecruiter

At WHOOP, we're on a mission to unlock human performance. WHOOP empowers users (Olympians, Professional Athletes, Fitness Enthusiasts, etc) to perform at a higher level through a deeper understanding of their bodies and daily lives.

Industry

Fitness and sports centers

Company size

501 - 1,000 Employees

Headquarters location

Boston, MA, US

Year founded

2012

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