ZipRecruiter

Log In

1

Algorithm Jobs in Massachusetts (NOW HIRING)

next page

Showing results 1-20

All JobsAlgorithm JobsAlgorithm Jobs in Massachusetts

Algorithm information

See Massachusetts salary details

$37

$85

$113

How much do algorithm jobs pay per hour?

As of Jul 11, 2026, the average hourly pay for algorithm in Massachusetts is $85.72, according to ZipRecruiter salary data. Most workers in this role earn between $72.98 and $97.12 per hour, depending on experience, location, and employer.

What jobs use algorithms?

Jobs that use algorithms include roles in software development, data science, machine learning engineering, and cybersecurity. These positions require skills in programming, mathematical modeling, and understanding of data structures to develop and optimize algorithms for various applications.

What are the key skills and qualifications needed to thrive in the Algorithm position, and why are they important?

To excel as an Algorithm Engineer, you typically need a strong background in computer science, mathematics, and programming languages such as Python, C++, or Java, often supported by a relevant degree. Familiarity with algorithms and data structures, version control systems like Git, and experience with technical tools such as MATLAB or TensorFlow are highly valued. Analytical thinking, problem-solving abilities, and effective communication skills are crucial soft skills for this position. These competencies are essential to create efficient algorithms, collaborate across teams, and drive innovation in computational solutions.

What is the job of an algorithm?

An algorithm is a set of step-by-step instructions used to solve a specific problem or perform a task. In a job context, developing and optimizing algorithms involves programming skills, understanding data structures, and analyzing efficiency to improve software performance. Algorithm-related roles often require knowledge of programming languages and problem-solving abilities.

What is an Algorithm job?

An Algorithm job typically involves designing, analyzing, and optimizing algorithms to solve complex problems efficiently. Professionals in this role work in fields like computer science, data science, artificial intelligence, and software development. They create algorithms for tasks such as data processing, machine learning, search optimization, and automation. Strong mathematical and programming skills are essential, along with knowledge of algorithmic complexity and data structures.

What engineers make $500,000?

Senior software engineers, especially those working in high-demand fields like machine learning, AI, or at major tech companies, can earn $500,000 or more annually. Compensation often includes base salary, bonuses, and stock options, and typically requires extensive experience, advanced skills, and sometimes leadership roles.

What are typical projects or tasks that an Algorithm Engineer works on?

As an Algorithm Engineer, you might work on developing and optimizing algorithms for tasks like data analysis, machine learning, computer vision, or operations research, depending on the industry. Daily responsibilities often include writing and testing code, analyzing performance bottlenecks, and collaborating with data scientists, product managers, or software engineers to integrate algorithms into production systems. You may also be involved in researching new techniques, reviewing technical literature, and presenting your findings to technical and non-technical audiences. This role often requires balancing creative problem-solving with practical implementation and continuous improvement.

Which 3 jobs will survive AI?

Jobs that require complex human interaction, creativity, and critical thinking, such as healthcare professionals, skilled tradespeople, and creative roles like writers and designers, are less likely to be fully replaced by AI. These roles often involve emotional intelligence, nuanced judgment, and hands-on skills that AI cannot replicate easily.
What are popular job titles related to Algorithm jobs in Massachusetts? For Algorithm jobs in Massachusetts, the most frequently searched job titles are:
What job categories do people searching Algorithm jobs in Massachusetts look for? The top searched job categories for Algorithm jobs in Massachusetts are:
What cities in Massachusetts are hiring for Algorithm jobs? Cities in Massachusetts with the most Algorithm job openings:
Algorithm jobs near you
Infographic showing various Algorithm job openings in Massachusetts as of July 2026, with employment types broken down into 3% Locum Tenens, 68% Full Time, 26% Part Time, 1% Temporary, and 2% Contract. Highlights an 76% Physical, 2% Hybrid, and 22% Remote job distribution, with an average salary of $178,305 per year, or $85.7 per hour.
Associate Director, Machine Learning (Core Algorithms)

Associate Director, Machine Learning (Core Algorithms)

Whoop

Boston, MA • On-site

Full-time

Posted 11 days ago

Job description

At WHOOP, we're on a mission to unlock human performance and healthspan. WHOOP empowers members to perform at a higher level and live longer through a deeper understanding of their bodies and daily lives.
We are seeking an Associate Director, Core Algorithms (Cloud) to lead the teams responsible for WHOOP's cloud-based algorithmic intelligence - the models and systems that transform physiological data into the sleep, recovery, and training insights our members rely on daily. This role is also responsible for ensuring our cloud algorithms evolve alongside WHOOP hardware, partnering with Sensor Intelligence and Hardware teams to translate new sensor capabilities into production-grade algorithmic experiences.
You will own the technical vision, execution, and organizational health of this team. You'll drive the evolution of our core production algorithms such as workout detection, strain, and sleep staging toward higher accuracy, better member experiences, and more mature development practices. You will partner closely with ML Platform, Sensor Intelligence, Research, Product, and Software Engineering to define what WHOOP algorithms can enable - not just how they perform technically, but how they show up for members.
This is a role for someone who has built and shipped physiological ML at scale in a consumer product, who has a deep product instinct for what algorithms mean to end users, and who knows how to elevate an ML organization's practices: raising the bar on tooling, processes, and standards to match the ambition of the work.
RESPONSIBILITIES
  • Lead the cloud ML team responsible for the algorithms powering sleep, recovery, and training
  • Directly manage applied ML scientists and ML engineers; provide coaching, career development, and performance feedback that grows individual contributors into strong technical leaders
  • Ensure the technical quality bar for algorithm development is maintained by establishing the processes, reviews, and standards that guarantee rigor from research through deployment, and diving into designs and architectural decisions where necessary
  • Help drive the vision for what WHOOP algorithms and next-generation sensors can enable; advocate for member experience and push the boundaries of what our data makes possible
  • Ensure cloud algorithms remain compatible with future hardware generations; partner with Sensor Intelligence and Hardware to evolve proof-of-concept algorithms that leverage new sensor capabilities and bring them to production readiness
  • Establish and improve development lifecycle practices: experiment management, model validation, deployment pipelines, and production monitoring
  • Partner with ML Platform / MLOps to define requirements and drive maturity improvements across experiment tracking, model monitoring, deployment automation, and observability
  • Drive cross-functional alignment with Sensor Intelligence, Product, Software Engineering, and Research teams

QUALIFICATIONS
  • 8+ years of experience in machine learning or applied data science, with hands-on experience developing and shipping ML models for a consumer product
  • 4+ years of people leadership experience directly managing machine learning scientists/engineers, with demonstrated growth of team members and a track record of building high-performing teams
  • Experience scaling a production ML organization: growing teams and leaders, identifying gaps in the development lifecycle, and driving improvements that increase velocity, reliability, and rigor
  • Deep product sense: ability to think about algorithms from the member's perspective, drive the vision for what algorithms can enable, and ensure the team is building toward meaningful user outcomes
  • Ability to evaluate technical designs, guide architectural decisions, and ensure quality at the system level, without needing to write code day-to-day
  • Experience defining and driving cross-functional programs with engineering, product, and science partners
  • Strong communication skills with the ability to translate complex ML concepts to diverse audiences including product, engineering, and executive stakeholders

PREFERRED
  • Experience building algorithms using physiological or wearable sensor data (e.g., PPG, accelerometer, temperature, bioimpedance)
  • Experience managing through hardware-coupled development timelines where sensor availability and device generations constrain algorithm roadmaps
  • Familiarity with time-series modeling, sequential data, and the specific challenges of continuous physiological monitoring

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 $200,000-$245,000 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.
Whoop logo

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

View All Whoop Jobs

Apply