101 to 125 of 166 Permanent SciPy Jobs

Coqui TTS Self-supervised learning tools like S3PRL Solid understanding of digital signal processing and acoustic modeling, with experience in: FFmpeg , SoX , NumPy/SciPy , Praat Experience deploying ML models in cloud environments (AWS, GCP, or Azure). BS or MS in CS, EE, ML, or related field (or equivalent More ❯

Coqui TTS Self-supervised learning tools like S3PRL Solid understanding of digital signal processing and acoustic modeling, with experience in: FFmpeg , SoX , NumPy/SciPy , Praat Experience deploying ML models in cloud environments (AWS, GCP, or Azure). BS or MS in CS, EE, ML, or related field (or equivalent More ❯

Coqui TTS Self-supervised learning tools like S3PRL Solid understanding of digital signal processing and acoustic modeling, with experience in: FFmpeg , SoX , NumPy/SciPy , Praat Experience deploying ML models in cloud environments (AWS, GCP, or Azure). BS or MS in CS, EE, ML, or related field (or equivalent More ❯

Coqui TTS Self-supervised learning tools like S3PRL Solid understanding of digital signal processing and acoustic modeling, with experience in: FFmpeg , SoX , NumPy/SciPy , Praat Experience deploying ML models in cloud environments (AWS, GCP, or Azure). BS or MS in CS, EE, ML, or related field (or equivalent More ❯

Coqui TTS Self-supervised learning tools like S3PRL Solid understanding of digital signal processing and acoustic modeling, with experience in: FFmpeg , SoX , NumPy/SciPy , Praat Experience deploying ML models in cloud environments (AWS, GCP, or Azure). BS or MS in CS, EE, ML, or related field (or equivalent More ❯

Coqui TTS Self-supervised learning tools like S3PRL Solid understanding of digital signal processing and acoustic modeling, with experience in: FFmpeg , SoX , NumPy/SciPy , Praat Experience deploying ML models in cloud environments (AWS, GCP, or Azure). BS or MS in CS, EE, ML, or related field (or equivalent More ❯

Coqui TTS Self-supervised learning tools like S3PRL Solid understanding of digital signal processing and acoustic modeling, with experience in: FFmpeg , SoX , NumPy/SciPy , Praat Experience deploying ML models in cloud environments (AWS, GCP, or Azure). BS or MS in CS, EE, ML, or related field (or equivalent More ❯

distributions, weighting sample-based data, and proper use of statistical tests. Real-world applications of these techniques. Proficiency in Python libraries such as NumPy, SciPy, Pandas, scikit-learn, and others related to data and machine learning. Working knowledge of SQL, data structures, and databases (Snowflake experience is desirable). This More ❯

and analytical techniques and concepts sampling methods, Regression Properties of distributions Weighting sample-based data Statistical tests proper usage Real-world applications. Python - NumPy, SciPy, Pandas, MLlib, scikit-learn, and other common data and machine learning related libraries Working knowledge of SQL, data structures and databases (Snowflake - desirable) This is More ❯

and analytical techniques and concepts sampling methods, Regression Properties of distributions Weighting sample-based data Statistical tests proper usage Real-world applications. Python - NumPy, SciPy, Pandas, MLlib, scikit-learn, and other common data and machine learning related libraries Working knowledge of SQL, data structures and databases (Snowflake - desirable) This is More ❯

quantitative field. Proven experience of large-scale data analysis and hypothesis testing. Strong proficiency in statistical analysis and predictive modeling. Proficient in Python (pandas, scipy, numpy, scikit-learn) or R (tidyverse/data.table), along with SQL. Excellent problem-solving skills and attention to detail. Strong communication skills with the ability More ❯

models for business application Experience in applied research PREFERRED QUALIFICATIONS Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. Experience with large scale distributed systems such as Hadoop, Spark etc. Amazon is an equal opportunities employer. We believe passionately that employing a diverse More ❯

analysis tools and techniques, and parameters that affect their performance experience • Strong programming skills in Python, with experience in data analysis libraries (NumPy, Pandas, SciPy) • Proven experience in statistical analysis • Strong analytical and problem-solving skills Preferred Qualifications: • Experience with AI/ML systems evaluation, particularly in STEM applications • 2+ More ❯

with neural deep learning methods and machine learning PREFERRED QUALIFICATIONS - Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. - Experience with large scale distributed systems such as Hadoop, Spark etc. Our inclusive culture empowers Amazonians to deliver the best results for our customers. More ❯

with neural deep learning methods and machine learning PREFERRED QUALIFICATIONS - Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. - Experience with large scale distributed systems such as Hadoop, Spark etc. Our inclusive culture empowers Amazonians to deliver the best results for our customers. More ❯

robotic systems. Strong problem-solving and critical thinking skills. Excellent communication skills for diverse audiences. Experience with data analysis tools like Python (pandas, sklearn, scipy). Proficiency in remote Linux environments and debugging. Ability to influence organizational direction through insights. Desirable Skills Hands-on experience with machine learning frameworks (e.g. More ❯

with neural deep learning methods and machine learning PREFERRED QUALIFICATIONS - Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. - Experience with large scale distributed systems such as Hadoop, Spark etc. - Strong hands-on experiences on customizing GAI/LLM solutions for business use More ❯

application Experience in Computer Vision modelling and techniques Preferred Qualifications Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. Experience with large scale distributed systems such as Hadoop, Spark etc. Amazon is an equal opportunities employer. We believe passionately that employing a diverse More ❯

application Experience in Computer Vision modelling and techniques Preferred Qualifications Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. Experience with large scale distributed systems such as Hadoop, Spark etc. Amazon is an equal opportunities employer. We believe passionately that employing a diverse More ❯

models for business application - Experience in applied research PREFERRED QUALIFICATIONS - Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. - Experience with large scale distributed systems such as Hadoop, Spark etc. Amazon is an equal opportunities employer. We believe passionately that employing a diverse More ❯

with neural deep learning methods and machine learning. PREFERRED QUALIFICATIONS Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy, etc. Experience with large scale distributed systems such as Hadoop, Spark, etc. Our inclusive culture empowers Amazonians to deliver the best results for our customers. More ❯

language, incl. local deployment of open models, continued training and fine-tuning cloud and local models Python and associated ML tools/frameworks (numpy, scipy, sklearn, pytorch) Experience with working collaboratively with other developers, following a flexible/agile/lean approach EPIC JOB + EPIC BENEFITS = EPIC LIFE We More ❯

experience in a data-driven role, with exposure to: building machine learning models and pipelines in Python, using common libraries and frameworks (e.g., NumPy, SciPy, Pandas, PyTorch, JAX), especially including deep learning applications; developing models for bespoke problem settings that involve high-dimensional data (spatiotemporal, geometric, physical); iterating on network More ❯

and strong statistical knowledge, as well as an interest in applying them to complex problems Programming proficiency in Python (especially numpy, pandas, scikit-learn, scipy) and SQL Experience solving optimisation problems with Python Experience with git Ability to collaborate effectively with colleagues from data science, product and engineering Dedication to More ❯

Strong knowledge of linear algebra, calculus and statistics. Experience using ML frameworks such as JAX, PyTorch, or TensorFlow, and scientific software such as NumPy, SciPy, or Pandas. A passion for applying ML research to real world problems. Depending on your experience: project supervision, leadership, or management. Nice to have PhD More ❯