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Startup Machine Learning Remote Jobs in Cambridge, MA

AI Data Engineer

Boston, MA · On-site +1

$124K - $149K/yr

Collaborate with data scientists and machine learning engineers to understand data requirements for ... Flexible working arrangements (remote or hybrid options available). * The opportunity to work on ...

As part of Beacon's analytics and machine learning domain, you'll work alongside fellow data ... This is a fully remote role based anywhere in the U.S. What success looks like * Participate in and ...

Algorithm Engineer

Boston, MA · On-site +1

$150K - $170K/yr

As part of Beacon's analytics and machine learning domain, you'll work alongside fellow data ... Beacon's robust asynchronous work practices ensure a first-class remote work experience, but we ...

Senior Forward Deployed Engineer

Boston, MA · On-site +1

$120K - $180K/yr

... startup environment * Experience with programming languages such as Python, Java, or similar, and ... Familiarity with AI, machine learning, and data analytics technologies and how they can be applied ...

As part of Beacon's analytics and machine learning domain, you'll work alongside fellow data ... Beacon's robust asynchronous work practices ensure a first-class remote work experience, but we ...

Data Science Intern Statistical Modeling & Marketing Measurement Remote | Internship | Full-time | ... and machine learning models for marketing measurement. This role is designed for someone with ...

Data Science Intern Statistical Modeling & Marketing Measurement Remote | Internship | Full-time | ... and machine learning models for marketing measurement. This role is designed for someone with ...

AI/ML Engineer - Remote

Boston, MA · Remote

$200 - $350/hr

Remote Job Summary We are seeking an experienced AI/ML Engineer to build and deploy secure ... machine learning applications. Key Responsibilities * Design, implement, and optimize AI/ML ...

AI/ML Engineer - Remote

Boston, MA · Remote

$200 - $350/hr

Remote Job Summary We are seeking an experienced AI/ML Engineer to build and deploy secure ... machine learning applications. Key Responsibilities * Design, implement, and optimize AI/ML ...

Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their ... Science, Machine Learning, Applied AI, Statistics, Quantitative Analytics, or Data Analytics.

Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their ... Science, Machine Learning, Applied AI, Statistics, Quantitative Analytics, or Data Analytics.

Showing results 41-60

Startup Machine Learning Remote information

See Cambridge, MA salary details

$27.9K

$46.5K

$96.2K

How much do startup machine learning remote jobs pay per year?

As of Sep 2, 2026, the average yearly pay for startup machine learning remote in Cambridge, MA is $46,543.00, according to ZipRecruiter salary data. Most workers in this role earn between $35,500.00 and $50,300.00 per year, depending on experience, location, and employer.

What is a startup machine learning engineer remote?

Remote startup machine learning jobs involve working for early-stage companies or startups to design, develop, and implement machine learning models and solutions, all while working from a remote location. These roles typically require strong programming skills, experience with data analysis, and familiarity with machine learning frameworks. Startups often offer dynamic environments where employees can work on diverse projects and contribute directly to the product's growth. Remote positions provide flexibility in work location and hours, but also require self-motivation and excellent communication skills to collaborate with distributed teams.

What skills and qualifications are needed to thrive as a startup machine learning engineer remote?

To thrive as a Startup Machine Learning Engineer remotely, you need a solid background in computer science, statistics, and machine learning algorithms, typically supported by a relevant degree or equivalent experience. Familiarity with tools such as Python, TensorFlow or PyTorch, cloud platforms (AWS, GCP, or Azure), and version control systems like Git is essential. Strong self-motivation, communication skills, and the ability to collaborate effectively across time zones help set outstanding candidates apart. These skills and qualities are crucial for delivering impactful ML solutions independently while contributing to fast-paced, distributed startup teams.

What are some unique challenges faced by startup machine learning engineers working remotely?

Machine learning professionals at startups often encounter fast-paced environments where priorities can shift quickly, and working remotely adds another layer of complexity. Collaboration with cross-functional teams, such as engineers and product managers, may require proactive communication to ensure alignment and clarity on project goals. Additionally, limited resources and data infrastructure at startups may mean you'll need to wear multiple hats and help shape processes from the ground up. However, this environment offers high autonomy, opportunities to have a direct impact, and rapid career growth potential as the startup scales.

What are popular job titles related to Startup Machine Learning Remote jobs in Cambridge, MA?

For Startup Machine Learning Remote jobs in Cambridge, MA, the most frequently searched job titles are:

What job categories do people searching Startup Machine Learning Remote jobs in Cambridge, MA look for?

The top searched job categories for Startup Machine Learning Remote jobs in Cambridge, MA are:

What cities near Cambridge, MA are hiring for Startup Machine Learning Remote jobs?

Cities near Cambridge, MA with the most Startup Machine Learning Remote job openings:

Clinical Study Operations Manager

Beacon Biosignals

Boston, MA • On-site, Remote

$90K - $110K/yr

Full-time, Contractor

PTO

Re-posted 2 days ago


Job description

As a Clinical Study Operations Manager within the Clinical Study Operations team, you will be responsible for ensuring the successful operational delivery of Beacon's clinical studies, from startup through close-out. You will work closely with sponsors, project teams, and clinical sites to drive efficient study execution and uphold Beacon's commitment to quality, compliance, and scientific rigor.
 
You will oversee study startup planning, site onboarding and training, and ongoing operational oversight to ensure studies are executed on time and to the highest standards. Acting as a key operational partner to both sponsors and internal teams, you will proactively identify risks, streamline communication, and maintain alignment across stakeholders. In addition, you will foster a culture of quality within the organization by coaching peers on GCP compliance, documentation discipline, version control, and complaint management, strengthening the team's collective operational excellence.
 
This is a contract-to-hire individual contributor role, fully remote anywhere in the U.S., and will require up to 10% travel. Beacon's robust asynchronous work practices ensure a first-class remote work experience, but we also have in-person office hubs available located in Boston, New York and Paris.
 
What success looks like:
  • Collaborate with project teams to implement study startup activities, including communication planning, logistics, development of study documentation, and data configuration.
  • Instill confidence with clients on study operations through start up, maintenance and close out activities.
  • Act as the primary point of contact for clinical sites, ensuring smooth operations and clear communication.
  • Provide training to research sites on the use of Beacon's devices and study protocols, ensuring proper device usage and data collection.
  • Monitor project progress, ensuring adherence to timelines, protocols, and quality standards.
  • Maintain compliance with Good Clinical Practice (GCP), International Conference on Harmonization (ICH) guidelines, and regulatory standards.
  • Foster a culture of quality within the ClinOps and Scientific teams by coaching peers on GCP requirements, documentation discipline, versioning, and complaint management.
  • Address operational issues promptly, escalating through tools like Zendesk and Asana for resolution.
  • Provide actionable feedback from research sites to inform improvements in devices and workflows.
 
What you will bring:
  • 5+ years of experience in clinical project management or clinical operations roles.
  • Strong organizational and project management skills, with the ability to manage multiple responsibilities effectively.
  • Excellent written and verbal communication skills in English; additional languages are a bonus.
  • A proactive mindset with the ability to identify priorities and anticipate challenges.
  • Meticulous attention to detail, ensuring accuracy in data collection and reporting.
  • Ability to work in a fast paced environment with multiple priorities.
  • Familiarity with GCP, ICH guidelines, and clinical research regulatory requirements.
  • Knowledge of decentralized data collection, compliance and oversight while showing empathy for both patients and sites.
  • A desire to learn more about analytics, statistics, machine learning, and clinical trials.
The salary range for this role is $90,000 - $110,000. 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.