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Phd Machine Learning Jobs in Cambridge, MA (NOW HIRING)

STR

Lead Research Scientist - Machine Learning

Boston, MA · On-site

$174K - $220K/yr

... machine learning, statistics, estimation theory, and information theory algorithms for signals ... MS with at least 8 years of experience, and/or PhD with at least 5 years of experience (or ...

STR

Lead Research Scientist - Machine Learning

Woburn, MA · On-site

$174K - $220K/yr

... machine learning, statistics, estimation theory, and information theory algorithms for signals ... MS with at least 8 years of experience, and/or PhD with at least 5 years of experience (or ...

Axon

Senior Machine Learning Scientist

Boston, MA · On-site

$99K - $135K/yr

Your Impact We are seeking highly skilled and innovative Machine Learning Scientists to join our AI ... PhD and with +5 years for ML Scientist, +8 years for Sr. ML Scientist, +10 years for Principal ML ...

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Phd Machine Learning information

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$15

$24

$33

How much do phd machine learning jobs pay per hour?

As of Sep 9, 2026, the average hourly pay for phd machine learning in Cambridge, MA is $24.94, according to ZipRecruiter salary data. Most workers in this role earn between $21.54 and $27.84 per hour, depending on experience, location, and employer.

What is a PhD in machine learning?

A PhD in Machine Learning is an advanced doctoral degree focused on developing new algorithms, theories, and applications in the field of machine learning. Graduates typically conduct original research, contribute to academic publications, and often specialize in areas like deep learning, reinforcement learning, or probabilistic modeling. This degree prepares individuals for careers in academia, industry research labs, or leadership roles in tech companies. The program usually involves coursework, comprehensive exams, and the completion of a dissertation based on novel research.

What are the key skills and qualifications needed to thrive as a PhD-level machine learning professional?

To thrive as a PhD-level Machine Learning professional, you need deep expertise in mathematics, statistics, computer science, and advanced machine learning algorithms, typically supported by a doctoral degree. Proficiency with programming languages like Python or R, machine learning frameworks such as TensorFlow or PyTorch, and experience with large-scale data systems are essential. Strong problem-solving skills, critical thinking, and effective communication set outstanding candidates apart by enabling them to tackle complex research challenges and collaborate across teams. These skills and qualities are crucial for driving innovation, publishing research, and developing impactful machine learning solutions.

What are some common challenges faced by PhD-level professionals in machine learning when transitioning from academia to industry roles?

PhD graduates in machine learning often encounter challenges such as adapting to faster-paced project timelines, aligning research with business objectives, and collaborating in multidisciplinary teams. Unlike academia, where projects can be exploratory and long-term, industry roles usually require actionable results within shorter deadlines. Additionally, communicating complex technical ideas to non-technical stakeholders and prioritizing practical solutions over theoretical novelty are key adjustments. However, these challenges also present opportunities for professional growth and broader impact.

What is the difference between Phd Machine Learning vs Data Scientist?

AspectPhd Machine LearningData Scientist
Required CredentialsPhD in Computer Science, AI, or related fieldBachelor's or Master's in Data Science, Statistics, or related field
Work EnvironmentResearch labs, academia, R&D departmentsBusiness, tech companies, analytics teams
Industry UsageResearch-focused roles, advanced algorithm developmentData analysis, model building, business insights
Common Search/ComparisonYesYes

While both roles involve working with data and algorithms, a Phd Machine Learning typically focuses on research, developing new models, and theoretical work, often in academic or R&D settings. A Data Scientist applies these techniques to solve practical business problems, analyze data, and generate insights in industry environments.

How much does a PhD in machine learning make?

A PhD in machine learning typically earns between $100,000 and $150,000 annually in industry roles, with salaries increasing for senior positions or in high-demand sectors. Academic positions may offer lower salaries but include research funding and teaching responsibilities.

What can you do with a PhD in machine learning?

A PhD in machine learning prepares individuals for advanced roles such as research scientist, machine learning engineer, data scientist, or AI specialist. These roles involve developing algorithms, analyzing large datasets, and applying AI techniques across industries like technology, healthcare, finance, and autonomous systems. Strong programming skills and knowledge of tools like Python, TensorFlow, or PyTorch are essential for these positions.

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

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

Phd Machine Learning jobs near you
Infographic showing various Phd Machine Learning job openings in Cambridge, MA as of August 2026, with employment types broken down into 1% As Needed, 71% Full Time, 26% Part Time, 1% Temporary, and 1% Contract. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution, with an average salary of $51,881 per year, or $24.9 per hour.

Quantum Scientist - Machine Learning and Quantum Error Correction

Boston, MA • On-site

QuEra Computing Inc.
Scientific Research and Development Services • 11 - 50 employees
Learn more about QuEra Computing Inc.external

Full-time

Re-posted 23 days ago

Job description

Job Summary:
QuEra Computing is seeking a talented, impact-motivated researcher with strong expertise in quantum error correction and decoding. The role involves developing and implementing quantum error correction protocols and decoding algorithms, utilizing machine learning methods to enhance these processes.
Responsibilities:
• develop and implement quantum error correction protocols and decoding algorithms on our unique hardware
• focus on the use of machine learning methods for decoding and QEC design
• work with a vibrant community of academic and industry collaborators
• help our growing team of diverse experts address fascinating challenges
• development of hardware-efficient error correction schemes and decoding algorithms for our unique Rydberg atom quantum computer
• design of protocols for executing fault-tolerant quantum logic
• implementation of fault-tolerant quantum algorithms with these methods
Qualifications:
Required:
• PhD in Physics, Computer Science, Mathematics, Electrical Engineering, or equivalent experience
• Experience in machine learning for scientific problems
• Experience in quantum computing and quantum error correction
• An exceptional publication record in relevant fields
• Strong written and verbal communication skills
• Strong software skills
Preferred:
• Experience simulating error correction protocols
• Experience collaborating with experimental teams and/or implementing error correction protocols on hardware
• Experience with high-performance software development and real-time operations
Company:
Quantum computing is moving from "one day" to "day one." QuEra Computing is leading that transition. Founded in 2018, the company is headquartered in Boston, USA, with a team of 51-200 employees. The company is currently Growth Stage.

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