5 junior machine learning engineer jobs at 4 companies in Bethlehem, PA
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Acceleration Center- Agentic AI and Machine Learning Developer- Experienced Associate
New York City or Tampa or Chicago or Florham Park or Dallas or Philadelphia or Phoenix
$61k-$100k/yrOnsiteFull Time
PwC: Providing audit, tax, and management consulting services to businesses.
1+ YOEBachelor's degree,1+ years experience; proficiency in Python,TensorFlow,Scikit-Learn,NLP; experience with data pipelines, data wrangling,and scalable AI systems; up to 60% travel.
Python, TensorFlow, Scikit-Learn, NLP, AWS, Google Cloud, Microsoft Azure, Databricks, Snowflake
Acceleration Center- Agentic AI and Machine Learning Developer- Senior Associate
New York or Dallas or Tampa or Philadelphia or Florham Park
$77k-$202k/yrOnsiteFull Time
PwC: Providing audit, tax, and management consulting services to businesses.
2+ YOEBachelor's degree,2+ years experience,proficiency with Python and Java,experience with TensorFlow and Scikit-Learn,knowledge of data integration,data pipelines and NLP,ability to design and deploy scalable AI solutions.
Python, Java, TensorFlow, Scikit-Learn, Databricks, Snowflake, AWS, Google Cloud, Microsoft Azure
Product Development Engineer II - Machine Learning
Hyderabad or Ambler
OnsiteFull Time
Phenom: AI-powered talent experience platform for human resources management.
0+ YOEExperience in quality assurance, test automation, regression testing, and collaboration with development teams; strong analytical and problem-solving skills. Entry-level role (0-2 years).
Texas Hydraulics: Manufactures custom-engineered hydraulic cylinders and fluid power components.
High school diploma or GED; mechanical aptitude; read engineering prints; set up machines and perform changes; use measuring tools; follow safety procedures; able to learn multiple machines.
Princeton University: Private research university providing higher education and scientific research.
0+ YOEPhD in chemical engineering, physics, chemistry, or materials science; experience with MD simulations of non-equilibrium plasma-surface interactions; development and use of machine learned interatomic potentials.