KOS AI
Get AI-powered advice on this job and more exclusive features.
Ensure you read the information regarding this opportunity thoroughly before making an application. KOS AI is transforming healthcare with the
Argus Continuous Glucose Monitoring System (CGM)
– the world’s first
non-invasive, optical CGM wristband . Our breakthrough technology uses advanced photoplethysmography (PPG) and machine learning to deliver continuous glucose monitoring without needles, sensors, or patches. We are building a world-class machine learning team to push the boundaries of AI in healthcare, combining
signal processing, multimodal learning, NLP, and deep learning
into one platform that changes the way chronic conditions are managed. Position Overview We are seeking a
Machine Learning Engineer (Entry-Level)
with a
Master’s in Computer Science (specialized in Machine Learning)
and a passion for applying AI across diverse domains. This role is ideal for someone who has a strong academic foundation and exposure to
LLMs, NLP, multimodal models, voice recognition, image recognition, and neural networks , and who is eager to learn, contribute, and grow in a fast-paced startup environment. Key Responsibilities Research, experiment with, and implement
machine learning models
across multiple domains: Multimodal models
combining text, audio, and image data Voice recognition and speech-to-text pipelines Image recognition and computer vision architectures Neural networks for biosignal and healthcare data Develop and optimize
end-to-end ML pipelines
from training to deployment. Work closely with the signal processing and biomedical engineering teams to integrate ML models into
real-time embedded healthcare systems . Contribute to model evaluation, feature engineering, and dataset curation. Stay on top of the latest research in
AI, multimodal learning, and medical ML
and apply it to real-world use cases. Required Qualifications Master’s degree in Computer Science, Artificial Intelligence, or related field, with specialization in Machine Learning. Solid understanding of
ML fundamentals, neural networks, and deep learning architectures . Exposure to multiple ML domains: NLP, computer vision, multimodal learning, and speech recognition. Experience with
Python
and ML frameworks such as
PyTorch, TensorFlow, Hugging Face, or OpenAI APIs . Strong problem-solving mindset and ability to work in a collaborative startup environment. Preferred Qualifications Coursework or projects involving
healthcare data or biomedical applications . Master's Degree in Computer Science and specialization in AI. 1-2 years of experience building the elements listed above. Familiarity with
signal processing or time-series analysis . Hands-on experience with
transformers, convolutional networks, or multimodal fusion models . Publications, Kaggle projects, or research contributions in ML. Technical Challenges You’ll Solve Designing ML models that can handle
multimodal data
(text, image, audio, biosignals). Building
lightweight and efficient models
for deployment on
embedded hardware . Adapting cutting-edge AI techniques to achieve
clinical-grade accuracy
in a real-world healthcare setting. Scaling models with
diverse and complex datasets
across populations. What We Offer Competitive salary and equity package in a high-growth health tech company. Opportunity to work on
cutting-edge AI projects with real-world healthcare impact . Close mentorship from senior ML engineers, biomedical engineers, and researchers. Pathway to grow into a specialized ML domain (NLP, multimodal, or biomedical AI). A collaborative environment with access to
clinical datasets and signal processing experts . Application Process Please submit: Resume highlighting machine learning projects and academic achievements. Cover letter describing your passion for AI and interest in healthcare applications. Portfolio of ML projects (GitHub, Kaggle, or research papers). Combine everything in one file. Applications with missing elements will be disregarded. KOS is an equal opportunity employer committed to diversity and inclusion. We welcome applications from all qualified candidates regardless of race, gender, age, religion, sexual orientation, or disability status. Seniority level
Seniority levelEntry level Employment type
Employment typeFull-time Job function
Job functionEngineering and Information Technology Referrals increase your chances of interviewing at KOS AI by 2x Get notified about new Machine Learning Engineer jobs in
Palo Alto, CA . AI/ML Engineer (Multiple roles and seniority levels) San Bruno, CA $117,000.00-$234,000.00 2 weeks ago San Jose, CA $137,500.00-$236,500.00 3 weeks ago San Jose, CA $120,700.00-$228,600.00 4 days ago Mountain View, CA $124,500.00-$186,500.00 4 days ago Sunnyvale, CA $167,000.00-$185,500.00 2 days ago Palo Alto, CA $2,000.00-$2,500.00 3 weeks ago New Grads 2025 - Software Engineer - Computer Vision/Deep Learning San Jose, CA $120,000.00-$165,000.00 10 months ago Machine Learning Engineer (I, II, or Sr.)Data Scientist, Analytics - Safety ResponseSoftware Engineer, AI Platform - New Grad Mountain View, CA $145,000.00-$170,000.00 1 day ago San Jose, CA $120,700.00-$228,600.00 4 days ago New Grads 2025 - Software Engineer, Algorithm San Jose, CA $120,000.00-$165,000.00 11 months ago San Jose, CA $169,500.00-$291,500.00 3 weeks ago Sunnyvale, CA $158,200.00-$185,000.00 1 month ago Research Engineer, Applied AI/ML - Early Stage Project Mountain View, CA $136,000.00-$185,000.00 4 days ago Machine Learning Engineer (I, II, or Sr.) San Jose, CA $120,000.00-$240,000.00 5 months ago San Jose, CA $130,000.00-$200,000.00 2 weeks ago New Grads 2025 - General Software Engineer San Jose, CA $120,000.00-$165,000.00 6 months ago San Jose, CA $130,000.00-$182,000.00 1 year ago San Jose, CA $102,400.00-$196,300.00 4 days ago Full Stack Software Engineer (L4), Product Localization Engineering Mountain View, CA $152,000.00-$228,000.00 2 days ago San Jose, CA $137,500.00-$236,500.00 4 months ago We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
#J-18808-Ljbffr
Ensure you read the information regarding this opportunity thoroughly before making an application. KOS AI is transforming healthcare with the
Argus Continuous Glucose Monitoring System (CGM)
– the world’s first
non-invasive, optical CGM wristband . Our breakthrough technology uses advanced photoplethysmography (PPG) and machine learning to deliver continuous glucose monitoring without needles, sensors, or patches. We are building a world-class machine learning team to push the boundaries of AI in healthcare, combining
signal processing, multimodal learning, NLP, and deep learning
into one platform that changes the way chronic conditions are managed. Position Overview We are seeking a
Machine Learning Engineer (Entry-Level)
with a
Master’s in Computer Science (specialized in Machine Learning)
and a passion for applying AI across diverse domains. This role is ideal for someone who has a strong academic foundation and exposure to
LLMs, NLP, multimodal models, voice recognition, image recognition, and neural networks , and who is eager to learn, contribute, and grow in a fast-paced startup environment. Key Responsibilities Research, experiment with, and implement
machine learning models
across multiple domains: Multimodal models
combining text, audio, and image data Voice recognition and speech-to-text pipelines Image recognition and computer vision architectures Neural networks for biosignal and healthcare data Develop and optimize
end-to-end ML pipelines
from training to deployment. Work closely with the signal processing and biomedical engineering teams to integrate ML models into
real-time embedded healthcare systems . Contribute to model evaluation, feature engineering, and dataset curation. Stay on top of the latest research in
AI, multimodal learning, and medical ML
and apply it to real-world use cases. Required Qualifications Master’s degree in Computer Science, Artificial Intelligence, or related field, with specialization in Machine Learning. Solid understanding of
ML fundamentals, neural networks, and deep learning architectures . Exposure to multiple ML domains: NLP, computer vision, multimodal learning, and speech recognition. Experience with
Python
and ML frameworks such as
PyTorch, TensorFlow, Hugging Face, or OpenAI APIs . Strong problem-solving mindset and ability to work in a collaborative startup environment. Preferred Qualifications Coursework or projects involving
healthcare data or biomedical applications . Master's Degree in Computer Science and specialization in AI. 1-2 years of experience building the elements listed above. Familiarity with
signal processing or time-series analysis . Hands-on experience with
transformers, convolutional networks, or multimodal fusion models . Publications, Kaggle projects, or research contributions in ML. Technical Challenges You’ll Solve Designing ML models that can handle
multimodal data
(text, image, audio, biosignals). Building
lightweight and efficient models
for deployment on
embedded hardware . Adapting cutting-edge AI techniques to achieve
clinical-grade accuracy
in a real-world healthcare setting. Scaling models with
diverse and complex datasets
across populations. What We Offer Competitive salary and equity package in a high-growth health tech company. Opportunity to work on
cutting-edge AI projects with real-world healthcare impact . Close mentorship from senior ML engineers, biomedical engineers, and researchers. Pathway to grow into a specialized ML domain (NLP, multimodal, or biomedical AI). A collaborative environment with access to
clinical datasets and signal processing experts . Application Process Please submit: Resume highlighting machine learning projects and academic achievements. Cover letter describing your passion for AI and interest in healthcare applications. Portfolio of ML projects (GitHub, Kaggle, or research papers). Combine everything in one file. Applications with missing elements will be disregarded. KOS is an equal opportunity employer committed to diversity and inclusion. We welcome applications from all qualified candidates regardless of race, gender, age, religion, sexual orientation, or disability status. Seniority level
Seniority levelEntry level Employment type
Employment typeFull-time Job function
Job functionEngineering and Information Technology Referrals increase your chances of interviewing at KOS AI by 2x Get notified about new Machine Learning Engineer jobs in
Palo Alto, CA . AI/ML Engineer (Multiple roles and seniority levels) San Bruno, CA $117,000.00-$234,000.00 2 weeks ago San Jose, CA $137,500.00-$236,500.00 3 weeks ago San Jose, CA $120,700.00-$228,600.00 4 days ago Mountain View, CA $124,500.00-$186,500.00 4 days ago Sunnyvale, CA $167,000.00-$185,500.00 2 days ago Palo Alto, CA $2,000.00-$2,500.00 3 weeks ago New Grads 2025 - Software Engineer - Computer Vision/Deep Learning San Jose, CA $120,000.00-$165,000.00 10 months ago Machine Learning Engineer (I, II, or Sr.)Data Scientist, Analytics - Safety ResponseSoftware Engineer, AI Platform - New Grad Mountain View, CA $145,000.00-$170,000.00 1 day ago San Jose, CA $120,700.00-$228,600.00 4 days ago New Grads 2025 - Software Engineer, Algorithm San Jose, CA $120,000.00-$165,000.00 11 months ago San Jose, CA $169,500.00-$291,500.00 3 weeks ago Sunnyvale, CA $158,200.00-$185,000.00 1 month ago Research Engineer, Applied AI/ML - Early Stage Project Mountain View, CA $136,000.00-$185,000.00 4 days ago Machine Learning Engineer (I, II, or Sr.) San Jose, CA $120,000.00-$240,000.00 5 months ago San Jose, CA $130,000.00-$200,000.00 2 weeks ago New Grads 2025 - General Software Engineer San Jose, CA $120,000.00-$165,000.00 6 months ago San Jose, CA $130,000.00-$182,000.00 1 year ago San Jose, CA $102,400.00-$196,300.00 4 days ago Full Stack Software Engineer (L4), Product Localization Engineering Mountain View, CA $152,000.00-$228,000.00 2 days ago San Jose, CA $137,500.00-$236,500.00 4 months ago We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
#J-18808-Ljbffr