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Remote Algorithms Engineer Jobs in Boston, MA (NOW HIRING)

Code Metal

Forward Deployed Engineer

Boston, MA · On-site +1

The Role Code Metal operates at the intersection of advanced algorithms and specialized hardware ... Flexible hybrid or remote work, with significant travel (30-75%) for deployments * Relocation ...

Code Metal

Forward Deployed Engineer

Boston, MA · Remote

The Role Code Metal operates at the intersection of advanced algorithms and specialized hardware ... Flexible hybrid or remote work, with significant travel (30-75%) for deployments * Relocation ...

STR

Senior Software Engineer

Woburn, MA · On-site +1

$134K - $184K/yr

STR is hiring a Senior Software Engineer to be part of a multi-disciplinary team that transforms ... Experience with algorithm optimization for real time systems, especially radar or remote sensing ...

Redhat

Principal Machine Learning Engineer

Boston, MA · On-site +1

$189.60K - $312.73K/yr

As a Machine Learning Engineer focused on model optimization algorithms, you will work closely with ... For positions with Remote-US locations, the actual salary range for the position may differ based ...

Red Hat

Senior Machine Learning Engineer

Boston, MA · On-site +1

$174.19K - $287.41K/yr

As a Senior Principal Machine Learning Engineer focused on model optimization algorithms, you will ... For positions with Remote-US locations, the actual salary range for the position may differ based ...

Redhat

Senior Machine Learning Engineer

Boston, MA · On-site +1

$174.19K - $287.41K/yr

As a Senior Principal Machine Learning Engineer focused on model optimization algorithms, you will ... For positions with Remote-US locations, the actual salary range for the position may differ based ...

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$64.6K

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$220.5K

How much do remote algorithms engineer jobs pay per year?

As of Jun 2, 2026, the average yearly pay for remote algorithms engineer in Boston, MA is $121,277.00, according to ZipRecruiter salary data. Most workers in this role earn between $87,500.00 and $143,900.00 per year, depending on experience, location, and employer.

What is a Remote Algorithms Engineer job?

A Remote Algorithms Engineer designs, analyzes, and optimizes algorithms to solve complex computational problems while working remotely. They develop efficient solutions for data processing, machine learning, optimization, and other technical challenges. This role typically involves implementing algorithms in programming languages like Python, C++, or Java, optimizing performance, and collaborating with distributed teams. Remote engineers use tools like version control systems, cloud computing, and communication platforms to stay connected. Strong problem-solving skills, mathematical knowledge, and coding expertise are essential for success in this role.

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

To thrive as a Remote Algorithms Engineer, a strong background in computer science, mathematics, and algorithm design—often demonstrated by a relevant degree or experience—is essential. Familiarity with programming languages like Python, C++, or Java, and tools such as Git, as well as knowledge in areas such as machine learning libraries or optimization frameworks, are typically required. Excellent problem-solving abilities, self-motivation, and strong written communication skills help remote engineers collaborate effectively across distributed teams. These skills ensure efficient development, collaboration, and deployment of robust algorithmic solutions in a remote work environment.

What are the typical daily responsibilities of a Remote Algorithms Engineer?

As a Remote Algorithms Engineer, your typical day will involve designing, implementing, and testing algorithms to solve complex technical problems, often as part of cross-functional projects. You will frequently analyze data, optimize existing code, and collaborate with engineers, data scientists, or product managers through virtual meetings and code reviews. Documenting your work and communicating progress in a clear, organized way is crucial in remote settings to ensure alignment with team goals. Additionally, staying updated on new algorithmic techniques and continuously improving your skills can help drive innovation and personal growth in this role.
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Remote Algorithms Engineer jobs near you
Manager, Algorithms and Machine Learning

Manager, Algorithms and Machine Learning

Beacon Biosignals

Boston, MA • On-site, Remote

$180K - $200K/yr

Full-time

PTO

Posted 22 days ago

Job description

Beacon Biosignals is on a mission to revolutionize precision medicine for the brain. We are the leading at-home EEG platform supporting clinical development of novel therapeutics for neurological, psychiatric, and sleep disorders. Our FDA 510(k)-cleared Waveband EEG headband and AI algorithms enable quantitative biomarker discovery and implementation. Beacon's Clinico-EEG database contains EEG data from nearly 100,000 patients, and our cloud-native analytics platform powers large-scale RWD/RWE retrospective and predictive studies. Beacon Biosignals is changing the way that patients are treated for any disorder that affects brain physiology.
Beacon Biosignals is seeking an Algorithms Manager to lead a group within the ML and Biomarker group. The ML and Biomarker group is responsible for building, productionizing, and maintaining the algorithmic systems that power Beacon's core capabilities, including machine learning model development, training and evaluation pipelines, biomarker development workflows, and the services that support reliable deployment and operation.
In this role, you will lead a team of 5-7 engineers and be accountable for the team's execution, health, and results. You will partner closely with technical and cross-functional stakeholders to translate company priorities into a clear roadmap, sound technical decisions, and strong team performance. This role reports to the Algorithms Senior Manager.
You are expected to bring sufficient technical depth in machine learning and algorithm development to evaluate approaches, guide tradeoffs, identify risks, and support high-quality decisions.
At Beacon, cultural and scientific impact comes from people who lead by example. We look for colleagues whose work reflects curiosity, sound judgment, a bias toward simplicity, a self-service mindset, and deep empathy for teammates, stakeholders, users, and patients. We believe diverse teams build more robust systems and achieve higher impact.
Beacon's asynchronous work practices support a strong remote experience, with in-person hubs in Boston, New York, and Paris. The Algorithms organization is distributed across American and European time zones. This role is located in the US, with a preference for candidates near our Boston or New York hubs.
What success looks like
As a successful manager at Beacon, you will:
  • Lead a high-performing Algorithms group through hiring, coaching, performance management, and clear expectations around ownership and impact.
  • Be accountable for the team's delivery against goals, ensuring alignment with Beacon's strategy, regulatory requirements, and quality standards.
  • Support engineer in making technical decisions across model development, biomarker pipelines, evaluation, and production systems, supporting the team in making sound tradeoffs.
  • Help your team scope out and prioritize tactical week-to-week work in direct connection with Beacon's wider strategic initiatives.
  • Ensure your team's development roadmap is outcome-oriented, up-to-date, aligned with the company's objectives and other teams' priorities, and communicated effectively to other stakeholders within Beacon.
  • Own project management responsibilities for team initiatives, including defining scope, managing timelines, and ensuring expectations are set both internally and externally.
  • Develop, refine, and own team-based processes that allow for efficient execution, communication, and coordination.
What you will bring
  • Experience managing a mid-sized ML or algorithm engineering team, with a track record of coaching, hiring, and growing individuals across levels while maintaining strong team health and accountability.
  • Proven ability to lead teams through technically complex, ambiguous work with cross-functional dependencies, balancing short-term delivery with longer-term capability building.
  • A strong depth of knowledge in algorithm/ML-model development, deploying production-ready ML systems, and model-maintenance to assess approaches, guide tradeoffs, and make sound decisions.
  • Experience operating within established frameworks and improving team-level ways of working, including prioritization, planning, and execution, while pragmatically addressing delivery friction and scaling challenges.
  • Strong communication and stakeholder management skills, with the ability to align partners around decisions, tradeoffs, and evolving plans, including in regulated or quality-sensitive environments.
  • A bias toward simplicity, with the ability to introduce the right level of process, avoid unnecessary complexity, and continuously improve how the team works.
  • Experience developing ML or algorithmic systems in regulated domains, with familiarity in regulatory submissions, including validation, reproducibility, documentation, and model governance requirements.

The salary range for this role is $180,000- $200,000. Salary ranges are determined using current market compensation data for this role and adjusted based on experience, skills, and location.The base salary is one component of the total compensation package, which includes equity, PTO and other benefits.
At Beacon, we've found that cultural and scientific impact is driven most by those that lead by example. As such, we're always seeking new contributors whose work demonstrates an avid curiosity, a bias towards simplicity, an eye for composability, a self-service mindset, and - most of all - a deep empathy towards colleagues, stakeholders, users, and patients. We believe a diverse team builds more robust systems and achieves higher impact.

Apply