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Algorithm Engineer Jobs in Cambridge, MA (NOW HIRING)

A Navigation Algorithms Engineer develops, integrates, and deploys advanced navigation algorithms and software for systems able to operate in complex environments such as underwater, ground, air, and ...

A Navigation Algorithms Engineer develops, integrates, and deploys advanced navigation algorithms and software for systems able to operate in complex environments such as underwater, ground, air, and ...

Software Developer

Lexington, MA ยท On-site

$120 - $130/hr

Enable Skills-Based Hiring No Qualification Assessment Must Have Degree Level Bachelor's Degree Yes Engineering Software/Algorithm Development 3 years Experience Currently holds a Secret Clearance ...

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Algorithm Engineer information

See Cambridge, MA salary details

$65K

$122K

$221.9K

How much do algorithm engineer jobs pay per year?

As of Jul 15, 2026, the average yearly pay for algorithm engineer in Cambridge, MA is $122,011.00, according to ZipRecruiter salary data. Most workers in this role earn between $88,000.00 and $144,800.00 per year, depending on experience, location, and employer.

What are the typical challenges an Algorithm Engineer faces in their day-to-day work?

Algorithm Engineers often encounter complex problems that require creative, efficient solutions within strict performance or resource constraints. They may need to optimize existing algorithms, develop new ones from scratch, and ensure seamless integration into larger software systems, often while balancing accuracy, speed, and scalability. Collaborating with other engineers, data scientists, and product teams to align technical efforts with business goals is also a regular part of the job. Staying updated with the latest advancements in algorithms and technology is essential, making continuous learning a key aspect of the role.

What engineers make $500,000?

Senior engineers in high-demand fields such as software engineering, data engineering, and machine learning engineering can earn $500,000 or more annually, especially with experience, advanced skills, and stock options. These roles often require expertise in programming, algorithms, and sometimes leadership responsibilities in tech companies or startups.

Will MLE be replaced by AI?

Machine Learning Engineers (MLEs) design, develop, and optimize AI models, but AI technology currently complements rather than replaces their role. MLEs are essential for building, deploying, and maintaining complex AI systems, and their expertise in data handling, model tuning, and system integration remains critical as AI advances. Continuous learning and familiarity with tools like TensorFlow or PyTorch are important for MLEs to stay relevant in evolving AI environments.

What does an algorithm engineer do?

An algorithm engineer designs, develops, and optimizes algorithms to solve complex problems and improve system performance. They often work with data structures, programming languages, and tools like Python or C++, and may test algorithms in simulation or real-world environments to ensure efficiency and accuracy.

What does an Algorithm Engineer do?

An Algorithm Engineer designs, develops, and optimizes algorithms to solve complex computational problems. They analyze data, improve system performance, and implement mathematical models for various applications, such as machine learning, computer vision, and optimization. This role requires proficiency in programming languages like Python or C++, strong mathematical skills, and an understanding of data structures and algorithms. Algorithm Engineers work closely with software developers, data scientists, and researchers to integrate efficient solutions into real-world systems.

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

To thrive as an Algorithm Engineer, you need a strong background in mathematics, computer science, and programming, usually demonstrated with a degree in these fields and experience in algorithm design and analysis. Familiarity with languages like Python, C++, or Java, and tools such as MATLAB or TensorFlow, as well as relevant certifications like those in data science or machine learning, are typically advantageous. Outstanding problem-solving abilities, analytical thinking, and effective communication are critical soft skills for success in this role. These competencies are crucial because they enable Algorithm Engineers to design efficient, innovative solutions and collaborate seamlessly with multidisciplinary teams.

What engineers make $300,000 a year?

Senior engineers in high-demand fields such as software engineering, data engineering, and machine learning engineering can earn $300,000 or more annually, especially with extensive experience, advanced skills, and working at large tech companies or startups. Compensation often includes base salary, bonuses, and stock options, and requires strong technical expertise and certifications in relevant tools and programming languages.
What job categories do people searching Algorithm Engineer jobs in Cambridge, MA look for? The top searched job categories for Algorithm Engineer jobs in Cambridge, MA are:
What cities near Cambridge, MA are hiring for Algorithm Engineer jobs? Cities near Cambridge, MA with the most Algorithm Engineer job openings:
Fall 2026: Control Systems & Algorithm Engineering Co-op (July/August to December)

Fall 2026: Control Systems & Algorithm Engineering Co-op (July/August to December)

SharkNinja

Needham, MA โ€ข On-site

Full-time

Medical, Retirement, PTO

Posted 9 days ago


Job description

About Us
SharkNinja is a global product design and technology company, with a diversified portfolio of 5-star rated lifestyle solutions that positively impact people's lives in homes around the world. Powered by two trusted, global brands, Shark and Ninja, the company has a proven track record of bringing disruptive innovation to market and developing one consumer product after another has allowed SharkNinja to enter multiple product categories, driving significant growth and market share gains. Headquartered in Needham, Massachusetts with more than 4,100 associates, the company's products are sold at key retailers, online and offline, and through distributors around the world.
AI at SharkNinja
At SharkNinja, we're building an AI-native culture. We're not waiting for the future; we're creating it. Our people are expected to experiment boldly, adopt new tools, and continuously raise what's possible to create meaningful impact for our consumers. If you believe the best way to do your job hasn't been invented yet, you'll fit right in.
Work Period: July/August 2026 to December 2026
Location & Schedule: This is a full-time, 40-hour-per-week position with 5 days per week onsite in Needham, MA. There is no relocation or housing assistance for this position.
Join the SharkNinja Early Edge Experience: Built for early career talent. Geared toward impact. Driven by speed. Whether you're in a co-op or internship, our early talent program is designed to provide valuable exposure to the industry and a fast-paced professional environment. You'll dive into meaningful projects and tasks that sharpen your skills and deepen your knowledge. Along the way, you'll benefit from professional development opportunities, community events, and connections that make your experience well-rounded and enriching. Your time with us will culminate in an opportunity to showcase your contributions and learnings to SharkNinja leaders because this is a program for those ready to shape what's next - fast.
This role: We are seeking a highly motivated Control Systems & Algorithms Co-op to join our team. We focus on developing real-time optimization and control algorithms for low-compute hardware that drive the next generation of smart household appliances. This role offers a hands-on opportunity to design, prototype, and validate control solutions that make appliances smarter, more efficient, and more reliable. This co-op opportunity will provide valuable experience in the field of control systems engineering and mechatronics with a focus on programming skills, optimization, and algorithms development. If you are passionate and want to work on challenging projects, we encourage you to apply.
Here are some of the EXCITING things you'll get to do:
  • Design and implement real-time control algorithms for appliance subsystems (thermal, fluidic, and electromechanical)
  • Work directly with pumps, heaters, boilers, AC/DC, and stepper motors, and their drivers
  • Interface with low-cost sensors (temperature, flow, pressure, torque, etc.) and implement signal processing, filtering, and estimation techniques (e.g., Kalman filters, etc.)
  • Apply classical control methods (frequency response analysis, PID design, and tuning) to achieve stability and robustness in systems with significant delays and nonlinearities
  • Rapidly build and iterate prototypes and test rigs to validate algorithms in real hardware environments
  • Collect and analyze experimental data to identify system dynamics and optimize performance
  • Collaborate with cross-functional teams to develop system design, software architecture, and bring control algorithms from concept to embedded deployment

ATTRIBUTES & SKILLS:
  • Education: Current student in their third year or beyond of a bachelor's program, or currently enrolled in a master's or doctorate program
  • Must be able to work a full-time, 40-hour-per-week schedule with 5 days per week onsite in Needham, MA
  • Strong understanding of control system theory (frequency response, stability margins, PID design and tuning) and design, including classical control and advanced control
  • Proficiency in embedded C/C++ programming and experience with microcontrollers (e.g., STM32, ESP32, Arduino, or similar)
  • Familiarity with real-time signal processing and sensor fusion techniques
  • Comfort working hands-on with hardware systems (sensors, actuators, thermal and electromechanical components)
  • Strong problem-solving ability and willingness to prototype quickly and iterate
  • A natural and effective communicator capable of reducing abstract concepts to reality
  • Able to quickly generate visual and physical definitions of new products that convey key attributes of function
  • Be naturally curious and relentlessly driven to find better solutions to everyday problems
  • Embodies SharkNinja's success drivers:
    • Rarely Satisfied - Adopt a "no delays" mentality in delivering against market needs/timing
    • Progress over Perfection - Make quick, daily progress and continuously adapts to achieve results rather than requiring perfect planning
    • Details Make the Difference - Can coordinate timelines & deliverables to ensure accuracy and consistency across all consumer-facing materials
    • Winning is a Team Sport - Ability to develop strong cross-functional relationships
    • Communicate for Impact - Strong communication skills - ability to deliver effective presentations to all levels of management

Preferred/ Bonus Qualifications
  • Experience with MATLAB/Simulink for system modeling, state-space control, and model-based design (including Simulink Coder/code generation)
  • Background in system identification, including real-time or machine-learning-based modeling
  • Knowledge of nonlinear optimization algorithms suitable for low-compute, embedded environments
  • Familiarity with TinyML, CMSIS libraries, or other embedded ML frameworks
  • Experience with embedded system architecture and designing control software frameworks

Please note that, due to the high volume of applications for early talent roles, response times may vary depending on the specific role and timeline. Our team appreciates your patience!
Salary and Other Compensation: The hourly salary range for this position is displayed below. Factors which may affect starting pay within this range may include geography/market, skills, education, experience and other qualifications of the successful candidate.
The Company offers the following benefits for this position, subject to applicable eligibility requirements: medical insurance, health savings account (HSA) with company contribution, sick time, company holidays, employee product discount, product testing opportunities, referral bonuses, and more.
Hourly Pay Range
$30-$40 USD
Our Culture
At SharkNinja, we don't just raise the bar-we push past it every single day. Our Outrageously Extraordinary mindset drives us to tackle the impossible, push boundaries, and deliver results that others only dream of. If you thrive on breaking out of your swim lane, you'll be right at home.
What We Offer
We offer competitive health insurance, retirement plans, paid time off, employee stock purchase options, wellness programs, SharkNinja product discounts, and more. We empower your personal and professional growth with high impact Learning Programs featuring bold voices redefining what's possible. When you join, you're not just part of a company-you're part of an outrageously extraordinary community. Together, we won't just launch products-we'll disrupt entire markets.
At SharkNinja, Diversity, Equity, and Inclusion are vital to our global success. Valuing each unique voice and blending all of our diverse skills strengthens SharkNinja's innovation every day. We support ALL associates in bringing their authentic selves to work, making an impact, and having the opportunity for career acceleration. With help from our leadership, associates, and our community, we aim to have equity be a key component of the SharkNinja DNA.
Learn more about us:
Life At SharkNinja
Outrageously Extraordinary
SharkNinja Candidate Privacy Notice
  • For candidates based in all regions, please refer to this Candidate Privacy Notice.
  • For candidates based in China, please refer to this Candidate Privacy Notice.
  • For candidates based in Vietnam, please refer to this Candidate Privacy Notice.

We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, disability, or any other class protected by legislation, and local law. SharkNinja will consider reasonable accommodations consistent with legislation, and local law. If you require a reasonable accommodation to participate in the job application or interview process, please contact SharkNinja People & Culture at accommodations@sharkninja.com