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Phd Machine Learning Startup Jobs in Raleigh, NC

RELX

Lead Data Scientist

Raleigh, NC

$104.90K - $174.70K/yr

The ideal candidate will have a deep understanding of machine learning algorithms, experience ... PhD or Master's degree in Computer Science, Mathematics, Statistics, or a related field

LexisNexis

Lead Data Scientist

Raleigh, NC · On-site

$104.90K - $174.70K/yr

The ideal candidate will have a deep understanding of machine learning algorithms, experience ... PhD or Master's degree in Computer Science, Mathematics, Statistics, or a related field

LexisNexis

Lead Data Scientist

Raleigh, NC · On-site

$104.90K - $174.70K/yr

The ideal candidate will have a deep understanding of machine learning algorithms, experience ... PhD or Master's degree in Computer Science, Mathematics, Statistics, or a related field

RELX Group plc

Lead Data Scientist

Raleigh, NC · On-site

$104.90K - $174.70K/yr

The ideal candidate will have a deep understanding of machine learning algorithms, experience ... PhD or Master's degree in Computer Science, Mathematics, Statistics, or a related field

LexisNexis

Lead Data Scientist

Raleigh, NC · On-site

$104.90K - $174.70K/yr

The ideal candidate will have a deep understanding of machine learning algorithms, experience ... PhD or Master's degree in Computer Science, Mathematics, Statistics, or a related field

LexisNexis

Senior Data Scientist III

Raleigh, NC · On-site

$115.40K - $192.30K/yr

You will lead AI and machine learning model development. You'll analyze extensive datasets and ... Masters plus 7-10 years of work-related experience OR PhD with 6+ years of work-related experience.

LexisNexis

Senior Data Scientist III

Raleigh, NC · On-site +1

$115.40K - $192.30K/yr

You will lead AI and machine learning model development. You'll analyze extensive datasets and ... Masters plus 7-10 years of work-related experience OR PhD with 6+ years of work-related experience.

Qualcomm

CI Infrastructure Engineer

Raleigh, NC · On-site

$76.80K - $102.50K/yr

... Machine Learning compiler stack. The role involves ensuring the reliability, performance, and ... PhD in Computer Science, Engineering, Information Systems, or related field Preferred : • ...

Qualcomm

CI Infrastructure Engineer

Raleigh, NC · On-site

$76.80K - $102.60K/yr

Engineering Group, Engineering Group > Machine Learning Engineering General Summary: We are looking ... OR PhD in Computer Science, Engineering, Information Systems, or related field. Qualcomm is an ...

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Phd Machine Learning Startup information

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$24.8K

$41.4K

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

As of May 31, 2026, the average yearly pay for phd machine learning startup in Raleigh, NC is $41,395.00, according to ZipRecruiter salary data. Most workers in this role earn between $31,600.00 and $44,700.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a PhD-level Machine Learning professional in a startup environment, and why are they important?

To excel as a PhD-level Machine Learning professional at a startup, you need advanced expertise in machine learning algorithms, statistical modeling, and a doctoral degree in a related field. Experience with Python, TensorFlow, PyTorch, and version control systems, along with a strong publication record, is typically expected. Initiative, adaptability, and excellent problem-solving and communication abilities are crucial soft skills in the fast-paced startup setting. These competencies enable rapid innovation, effective team collaboration, and successful deployment of machine learning solutions under resource constraints.

What are some common challenges faced by PhD-level professionals working in machine learning startups?

PhD-level professionals in machine learning startups often encounter challenges such as balancing research innovation with the need for rapid product development. Unlike academia, startups prioritize practical solutions that fit tight deadlines and resource constraints. Team members typically wear multiple hats and collaborate closely with engineers, product managers, and business stakeholders, requiring strong communication skills and adaptability. Additionally, translating cutting-edge research into scalable, real-world applications can be both intellectually rewarding and demanding.

What do PhD holders in Machine Learning do at startups?

PhD holders in Machine Learning at startups typically lead research and development efforts to create innovative algorithms and models that solve real-world problems. They often work on designing and implementing advanced machine learning solutions, analyzing large datasets, and collaborating with product and engineering teams to bring research ideas to production. Their expertise helps startups stay competitive by driving technological advancements and fostering a culture of innovation.
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Phd Machine Learning Startup jobs near you

Staff ML Scientist - Neuromorphic Computing & Spiking Neural Networks

Triangle Workforce

Durham, NC • Remote

Full-time

Posted 18 days ago

Job description

We are hiring a Staff ML Scientist to lead research and development of spiking neural network (SNN) architectures for ultra-low-power, real-time edge inference. This rare role sits at the convergence of computational neuroscience and production machine learning, requiring expertise in neuromorphic hardware platforms (Intel Loihi 2, BrainChip Akida, SynSense), temporal coding schemes, and spike-timing-dependent plasticity (STDP) learning rules.


You will design brain-inspired ML models that achieve orders-of-magnitude improvements in energy efficiency over traditional deep learning for time-series, sensor fusion, and event-driven vision applications.


Candidates must have hands-on experience training and deploying SNNs, deep familiarity with frameworks like Norse, snnTorch, or Lava, and ideally published work in neuromorphic engineering or computational neuroscience. PhD required. Experience bridging the gap between neuromorphic research prototypes and production-ready inference systems is critical.


Key Skills: Spiking Neural Networks, Neuromorphic Computing, Intel Loihi, snnTorch, Norse, Lava, Edge ML, Sensor Fusion, PyTorch, STDP


This is a remote-first position based in North Carolina.