29 Artificial Intelligence jobs in Lehi
Data Science Graduate Trainee
84097 Orem, Utah
$50000 annum (pro-
WhatJobs
Posted 7 days ago
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Job Description
Our client, a rapidly growing technology innovator, is looking for ambitious and intellectually curious Data Science Graduate Trainees to join their team in Provo, Utah, US . This is an exceptional opportunity for recent graduates or individuals early in their academic careers to gain hands-on experience in the exciting field of data science. The program is designed to provide comprehensive training and mentorship, enabling participants to develop critical skills in data analysis, machine learning, statistical modeling, and data visualization. As a Data Science Graduate Trainee, you will work on real-world projects, contributing to data-driven decision-making across various business functions. You will collaborate with experienced data scientists and engineers, learning to collect, clean, and process large datasets, build predictive models, and interpret complex findings. The curriculum will cover essential tools and techniques, including programming languages like Python and R, database management, and cloud computing platforms. We are seeking candidates with a strong quantitative background, a passion for problem-solving, and a keen interest in extracting insights from data. This role is fully remote, offering the flexibility to work from anywhere while participating in a structured, intensive learning program. Successful completion of the internship may lead to full-time employment opportunities.
Program Focus:
Program Focus:
- Data Analysis and Visualization: Learn to explore, clean, and present data effectively using tools like Pandas, Matplotlib, and Seaborn.
- Machine Learning: Gain practical experience in developing and deploying supervised and unsupervised learning models using libraries such as Scikit-learn and TensorFlow/Keras.
- Statistical Modeling: Understand and apply statistical concepts for hypothesis testing, regression analysis, and time series forecasting.
- Big Data Technologies: Get introduced to working with large datasets and distributed computing frameworks.
- Programming Languages: Develop proficiency in Python and R for data manipulation and analysis.
- Cloud Platforms: Learn to utilize cloud services (e.g., AWS, Azure, GCP) for data science workflows.
- Project-Based Learning: Apply learned concepts to solve business problems in a mentored environment.
- Collaboration and Communication: Develop skills to present findings and recommendations to technical and non-technical audiences.
- Currently pursuing or recently completed a Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, Physics, Economics, or a related quantitative field.
- Strong foundation in statistics and mathematics.
- Proficiency in at least one programming language (e.g., Python, R) is required.
- Familiarity with data manipulation libraries (e.g., Pandas) and machine learning concepts is a plus.
- Excellent problem-solving abilities and a curious mindset.
- Strong written and verbal communication skills.
- Ability to work independently and effectively in a remote team setting.
- Eagerness to learn and adapt to new technologies.
- Prior internship or project experience in data analysis or a related field is beneficial.
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0
Senior AI Research Scientist - Deep Learning
84057 Orem, Utah
$140000 Annually
WhatJobs
Posted 7 days ago
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Job Description
Our client is seeking a highly accomplished Senior AI Research Scientist specializing in Deep Learning to join a dynamic and innovative team in Provo, Utah, US . This role is crucial for driving cutting-edge research and development in artificial intelligence. You will be at the forefront of designing, implementing, and evaluating novel deep learning models and algorithms to solve complex real-world problems. Your work will span areas such as natural language processing, computer vision, and reinforcement learning. Responsibilities include formulating research hypotheses, conducting rigorous experiments, analyzing results, and contributing to scientific publications and patent applications. You will collaborate closely with engineers and product managers to translate research breakthroughs into tangible product features. This role demands a strong theoretical foundation in machine learning, exceptional programming skills, and the ability to work both independently and as part of a collaborative team. We are looking for a proactive individual who can identify new research opportunities and push the boundaries of AI technology. The ideal candidate will possess a PhD or Master's degree in Computer Science, Artificial Intelligence, or a related quantitative field, with a minimum of 5 years of relevant research experience. Proficiency in Python and deep learning frameworks like TensorFlow or PyTorch is essential. Experience with large-scale data processing and distributed computing environments is highly desirable. We offer a competitive salary, comprehensive benefits package, and opportunities for professional growth. If you are passionate about AI and eager to make a significant impact, we encourage you to apply.
Responsibilities:
Responsibilities:
- Conduct original research in deep learning and related AI fields.
- Develop and implement novel algorithms and models.
- Design and execute experiments to validate hypotheses.
- Analyze experimental data and interpret results.
- Publish findings in leading AI conferences and journals.
- Collaborate with cross-functional teams to integrate research into products.
- Mentor junior researchers and engineers.
- Stay abreast of the latest advancements in AI and machine learning.
- Contribute to intellectual property development.
- PhD or Master's degree in Computer Science, AI, or related field.
- 5+ years of research experience in deep learning.
- Strong theoretical understanding of machine learning.
- Proficiency in Python and deep learning frameworks (TensorFlow, PyTorch).
- Experience with NLP, computer vision, or reinforcement learning.
- Proven track record of publications and/or patents.
- Excellent problem-solving and analytical skills.
- Strong communication and collaboration abilities.
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1
Machine Learning Engineer
84111 South Salt Lake, Utah
$130000 Annually
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Posted 5 days ago
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Job Description
Join a cutting-edge technology firm as a Machine Learning Engineer, contributing to the development and deployment of advanced AI solutions. Our client is at the forefront of innovation in **Salt Lake City, Utah, US**, and is seeking talented individuals to drive their AI initiatives. You will be instrumental in designing, building, and implementing machine learning models that solve complex real-world problems. This role demands a strong foundation in statistical modeling, data mining, and machine learning algorithms. Your responsibilities will include data preprocessing, feature engineering, model training, evaluation, and deployment. You will work closely with data scientists, software engineers, and product managers to integrate AI capabilities into our products and services. We are looking for someone with a passion for staying abreast of the latest advancements in AI and a proven ability to translate theoretical concepts into practical, scalable solutions. The ideal candidate possesses strong programming skills in Python or R and extensive experience with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn. Experience with big data technologies (e.g., Spark, Hadoop) and cloud platforms (AWS, Azure, GCP) is highly desirable.
Key Responsibilities:
Key Responsibilities:
- Design, develop, and implement machine learning models and algorithms.
- Process, clean, and transform large datasets for model training.
- Perform feature engineering to improve model performance.
- Train, evaluate, and validate machine learning models.
- Deploy machine learning models into production environments.
- Collaborate with cross-functional teams on AI-driven projects.
- Research and stay current with the latest ML techniques and technologies.
- Optimize model performance and scalability.
- Develop and maintain robust data pipelines for machine learning workflows.
- Document code, models, and processes thoroughly.
- Master's or Ph.D. in Computer Science, Artificial Intelligence, Statistics, or a related quantitative field.
- 3+ years of hands-on experience in machine learning engineering or data science with a focus on model development and deployment.
- Proficiency in Python and/or R, with extensive experience in ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
- Solid understanding of various machine learning algorithms (e.g., regression, classification, clustering, deep learning).
- Experience with big data technologies such as Apache Spark, Hadoop, or similar.
- Familiarity with cloud computing platforms (AWS, Azure, GCP) and MLOps practices.
- Strong data manipulation and SQL skills.
- Excellent problem-solving and analytical abilities.
- Effective communication skills to explain technical concepts to non-technical stakeholders.
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2
Senior Machine Learning Engineer
84604 Orem, Utah
$140000 Annually
WhatJobs
Posted 7 days ago
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Job Description
Our client, a cutting-edge technology firm, is seeking a highly skilled and experienced Senior Machine Learning Engineer to join their fully remote team. This role is at the forefront of artificial intelligence development, focusing on designing, building, and deploying sophisticated machine learning models and systems. The ideal candidate possesses a strong theoretical foundation in machine learning algorithms, coupled with practical experience in software development and data science. You will be instrumental in solving complex problems, driving innovation, and contributing to the advancement of our client's AI capabilities. This position demands a proactive approach, a keen analytical mind, and a passion for pushing the boundaries of what's possible with AI.
Key Responsibilities:
Key Responsibilities:
- Design, develop, and implement advanced machine learning models and algorithms to address challenging business problems.
- Build and maintain scalable ML pipelines for data preprocessing, feature engineering, model training, and deployment.
- Collaborate with data scientists, software engineers, and product managers to define ML requirements and integrate models into production systems.
- Conduct thorough research and experimentation to identify and evaluate novel ML approaches.
- Optimize model performance, efficiency, and scalability for real-world applications.
- Develop and implement robust testing and validation strategies for ML models.
- Stay abreast of the latest advancements in machine learning, deep learning, and AI research.
- Contribute to the development of best practices and standards for ML development and deployment.
- Mentor junior engineers and share knowledge across the team.
- Document ML models, systems, and processes clearly and comprehensively.
- Evaluate and integrate new ML technologies and tools.
- Troubleshoot and resolve issues related to ML model performance and system stability.
- Master's degree or PhD in Computer Science, Machine Learning, Artificial Intelligence, Statistics, or a related quantitative field.
- 5+ years of professional experience in machine learning engineering or a related role.
- Proven track record of designing, building, and deploying ML models in production environments.
- Strong theoretical understanding and practical application of various ML algorithms (e.g., regression, classification, clustering, deep learning).
- Proficiency in programming languages such as Python, Java, or Scala.
- Extensive experience with ML frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
- Experience with cloud platforms (e.g., AWS, Azure, GCP) and distributed computing systems.
- Solid understanding of data structures, algorithms, and software engineering principles.
- Experience with big data technologies (e.g., Spark, Hadoop) is a plus.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and collaboration abilities, with the capacity to explain complex technical concepts.
- Ability to work effectively in a remote, fast-paced, and collaborative environment.
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3
Senior Machine Learning Engineer
84057 Orem, Utah
$145000 Annually
WhatJobs
Posted 7 days ago
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Job Description
Our client is seeking an accomplished Senior Machine Learning Engineer to join their cutting-edge AI research and development team. This is a fully remote position, offering you the opportunity to work on challenging projects from anywhere in the US. You will be responsible for designing, building, and deploying advanced machine learning models and systems that drive innovation across our client's products and services. Your key responsibilities will include developing sophisticated algorithms, implementing scalable ML pipelines, optimizing model performance, and collaborating with data scientists and software engineers to integrate ML solutions into production environments. You will also mentor junior engineers, contribute to architectural decisions, and stay abreast of the latest advancements in machine learning and artificial intelligence. The ideal candidate will have a Master's or Ph.D. in Computer Science, Machine Learning, or a related quantitative field, with a strong foundation in statistical modeling, algorithms, and data structures. Proven experience with popular ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn) and proficiency in programming languages such as Python is essential. Experience with cloud platforms (AWS, Azure, GCP) and big data technologies is highly desirable. Excellent problem-solving skills, a creative mindset, and the ability to work independently and as part of a distributed team are crucial. This is an exceptional opportunity to work on transformative AI projects, push the boundaries of machine learning, and grow your career in a remote-first, innovative environment. Join our client and contribute to shaping the future of artificial intelligence. Provo, Utah, US .
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4
Senior Data Scientist - Machine Learning
84101 South Salt Lake, Utah
$160000 Annually
WhatJobs
Posted 3 days ago
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Job Description
Our client is seeking a highly skilled and innovative Senior Data Scientist with expertise in Machine Learning to join their fully remote team. This role is central to developing cutting-edge predictive models and data-driven solutions that will shape the future of their products and services. You will lead the design, development, and implementation of machine learning algorithms, working with large and complex datasets to extract actionable insights and drive strategic decisions. Key responsibilities include identifying new opportunities for ML applications, preprocessing and transforming data, building and validating models, and deploying solutions into production environments. The ideal candidate will have a deep understanding of various ML techniques, including supervised and unsupervised learning, deep learning, and natural language processing. Proficiency in programming languages such as Python or R, and experience with ML frameworks like TensorFlow, PyTorch, or scikit-learn, is essential. A Master's degree or Ph.D. in Computer Science, Statistics, Mathematics, or a related quantitative field is required, along with at least 5 years of hands-on experience in data science and machine learning. Experience with big data technologies (e.g., Spark, Hadoop) and cloud platforms (e.g., AWS, Azure, GCP) is highly desirable. Excellent analytical, problem-solving, and communication skills are paramount, with the ability to explain complex technical concepts to non-technical stakeholders. This is an exciting opportunity to work on challenging problems and make a significant impact in a remote-first setting.
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5
AI Research Scientist, Machine Learning
84097 Orem, Utah
$135000 Annually
WhatJobs
Posted 7 days ago
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Job Description
Our client, a leader in AI and emerging technologies, is seeking a talented and passionate AI Research Scientist specializing in Machine Learning to join their cutting-edge team in **Provo, Utah, US**. This role is at the forefront of developing innovative AI solutions, pushing the boundaries of what's possible. The ideal candidate will have a strong theoretical foundation in machine learning algorithms, deep learning, and statistical modeling, coupled with practical experience in applying these techniques to real-world problems. Responsibilities include conducting research, developing novel ML models and algorithms, implementing and evaluating AI systems, and contributing to the full lifecycle of AI product development. You will work with large datasets, explore feature engineering, and optimize model performance for various applications. Collaboration with other researchers, software engineers, and product managers is key to translating research into tangible products. The ability to stay current with the latest advancements in AI and ML, publish research findings, and present complex technical concepts clearly is essential. This position offers a unique opportunity to work on challenging problems, leverage state-of-the-art tools and infrastructure, and make a significant impact in the rapidly evolving field of artificial intelligence. The role will involve a hybrid work model, allowing for a balance of focused individual research and collaborative team sessions in **Provo, Utah, US**. We are looking for a curious, creative, and results-oriented individual eager to contribute to groundbreaking AI innovations.
Qualifications:
Qualifications:
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- Minimum of 5 years of research experience in machine learning and deep learning.
- Proficiency in programming languages such as Python, and ML libraries (e.g., TensorFlow, PyTorch, scikit-learn).
- Strong understanding of various ML algorithms (supervised, unsupervised, reinforcement learning) and their applications.
- Experience with data preprocessing, feature engineering, and model evaluation techniques.
- Ability to conduct independent research and publish findings in reputable conferences or journals.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and teamwork abilities.
- Experience with cloud platforms (AWS, Azure, GCP) is a plus.
Apply Now
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6
Machine Learning Engineer - AI Research
84097 Orem, Utah
$160000 Annually
WhatJobs
Posted 7 days ago
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Job Description
Our client is at the forefront of AI innovation and is seeking a brilliant Machine Learning Engineer to join their cutting-edge research team. This role offers a unique opportunity to contribute to groundbreaking advancements in artificial intelligence and develop novel machine learning models. The position is fully remote, enabling top talent to collaborate from anywhere in the US. You will work on challenging problems, pushing the boundaries of what's possible in AI.
Responsibilities:
Qualifications:
This role is perfect for a creative and driven ML Engineer looking to make a significant impact in the field of Artificial Intelligence. If you are passionate about pushing the frontiers of AI, apply today to join our forward-thinking team.
Responsibilities:
- Design, develop, and implement state-of-the-art machine learning algorithms and models.
- Conduct research into new ML techniques, including deep learning, natural language processing, and computer vision.
- Process, clean, and analyze large datasets to extract meaningful insights and train models.
- Build and optimize scalable ML pipelines for model training, evaluation, and deployment.
- Collaborate with a team of researchers and engineers to translate research findings into practical applications.
- Develop and maintain robust ML infrastructure and tooling.
- Stay current with the latest advancements in AI and ML literature and apply them to research problems.
- Perform rigorous testing and validation of ML models to ensure accuracy and reliability.
- Communicate complex technical concepts effectively through written reports and presentations.
- Contribute to open-source projects and academic publications where appropriate.
- Mentor junior team members and foster a culture of innovation.
- Ensure ethical considerations and bias mitigation are integrated into AI development processes.
Qualifications:
- Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- Proven experience (3+ years) in developing and deploying machine learning models in production environments.
- Strong expertise in deep learning frameworks such as TensorFlow, PyTorch, or Keras.
- Proficiency in programming languages like Python, with extensive experience in relevant libraries (e.g., scikit-learn, NumPy, Pandas).
- Solid understanding of statistical modeling, data mining, and machine learning algorithms.
- Experience with cloud platforms (AWS, GCP, Azure) and big data technologies is a plus.
- Excellent problem-solving and analytical skills, with a passion for research and innovation.
- Strong communication and collaboration skills, capable of working effectively in a remote setting.
- Ability to work independently and manage complex research projects.
- Published research in relevant AI/ML conferences or journals is highly desirable.
This role is perfect for a creative and driven ML Engineer looking to make a significant impact in the field of Artificial Intelligence. If you are passionate about pushing the frontiers of AI, apply today to join our forward-thinking team.
Apply Now
7
Senior Data Scientist - Machine Learning
84057 Orem, Utah
$145000 Annually
WhatJobs
Posted 7 days ago
Job Viewed
Job Description
Our client is seeking a highly skilled and experienced Senior Data Scientist with a specialization in Machine Learning to join our innovative technology team. This fully remote position offers the opportunity to work on cutting-edge projects, developing predictive models and intelligent systems that drive business value. You will leverage your expertise in statistical analysis, algorithms, and data mining to solve complex problems and create actionable insights from large datasets. The ideal candidate is a strong analytical thinker, a proficient programmer, and passionate about leveraging data to shape the future of our products and services.
Responsibilities:
Qualifications:
This is a fantastic opportunity for a motivated data scientist to work remotely and contribute to groundbreaking projects from anywhere. If you are ready to push the boundaries of data science and machine learning, apply now.
Responsibilities:
- Design, develop, and deploy advanced machine learning models for various applications (e.g., predictive analytics, recommendation systems, natural language processing).
- Clean, transform, and analyze large, complex datasets to extract meaningful insights.
- Collaborate with product managers, engineers, and stakeholders to define project requirements and translate business needs into data science solutions.
- Conduct exploratory data analysis (EDA) to identify trends, patterns, and opportunities.
- Evaluate and select appropriate algorithms and techniques for specific problems.
- Build and maintain data pipelines and infrastructure for model training and deployment.
- Stay current with the latest research and advancements in machine learning and artificial intelligence.
- Communicate findings and recommendations clearly and effectively through visualizations and presentations.
- Mentor junior data scientists and contribute to the team's technical growth.
- Ensure the ethical and responsible use of data and models.
Qualifications:
- Master's or Ph.D. in Computer Science, Statistics, Mathematics, Physics, or a related quantitative field.
- 5+ years of professional experience in data science, with a strong focus on machine learning.
- Proven experience in developing and deploying ML models into production environments.
- Proficiency in programming languages such as Python or R, and associated libraries (e.g., TensorFlow, PyTorch, Scikit-learn, Pandas).
- Strong understanding of statistical modeling, experimental design, and data mining techniques.
- Experience with big data technologies (e.g., Spark, Hadoop) and cloud platforms (e.g., AWS, Azure, GCP) is highly desirable.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and collaboration skills, with the ability to explain complex technical concepts to non-technical audiences.
- Experience with SQL and database management.
This is a fantastic opportunity for a motivated data scientist to work remotely and contribute to groundbreaking projects from anywhere. If you are ready to push the boundaries of data science and machine learning, apply now.
Apply Now
8
Graduate Software Engineer - Machine Learning
84601 Orem, Utah
$85000 Annually
WhatJobs
Posted 7 days ago
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Job Description
Our client is excited to welcome ambitious and talented Graduate Software Engineers with a specialization in Machine Learning to join their innovative team in Provo, Utah, US . This entry-level position is an exceptional opportunity for recent graduates to kick-start their careers in a supportive and intellectually stimulating environment. You will work alongside experienced engineers and researchers, contributing to the development and implementation of cutting-edge machine learning models and algorithms that drive our client's technological advancements. The ideal candidate possesses a strong academic foundation in computer science, mathematics, or a related field, coupled with a demonstrated passion for AI and ML.
Key responsibilities include:
Key responsibilities include:
- Assisting in the development, training, and deployment of machine learning models.
- Writing clean, efficient, and well-documented code in languages such as Python.
- Collaborating with senior engineers to understand project requirements and contribute to design discussions.
- Conducting research on new ML techniques and algorithms relevant to ongoing projects.
- Collecting, cleaning, and pre-processing data for model training and evaluation.
- Implementing and testing algorithms to ensure accuracy and performance.
- Participating in code reviews and contributing to team discussions on best practices.
- Learning and applying software development principles and methodologies.
- Supporting the maintenance and improvement of existing ML systems.
- Documenting technical specifications and project progress.
- Assisting with data visualization and reporting on model performance.
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