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You'll have the freedom to experiment with and participate in deciding which big data, deep learning and NLP tools are right for Relativity on an ongoing basis.. Communicate across the broader AI team, keeping the team aware of AI platform innovation, learning opportunities, and future areas of innovation.. 2+ years of experience creating resources on AWS, Azure, or GCP using infrastructure as code (e.g., AWS CloudFormation, AWS CDK, Terraform, CDKTF, Pulumi, etc. Experience with Prefect, Airflow, or an analogous workflow tool.. Experience deploying solutions in big data processing frameworks such as Apache Spark, Hadoop, EMR, and Kafka.
Work with data engineers to ensure data quality and availability for machine learning tasks. Stay informed about industry trends and advancements in machine learning and artificial intelligence. Strong programming skills in languages such as Python, R, or TensorFlow. Proficiency in programming languages such as Python, R, or TensorFlow. If you are a highly skilled Machine Learning Engineer with a passion for solving complex problems through innovative machine learning solutions, we invite you to apply.
HireArt is helping TRI hire a Machine Learning Engineer - Human Behavior and Carbon Neutrality to develop and optimize models that personalize user experiences and power generative AI features within these platforms. In this role, you will design, develop, and deploy machine learning models to personalize user experiences in mobile/web apps while staying up to date with state-of-the-art AI/ML research and applying innovative techniques to improve personalization. We're looking for someone with 4+ years of experience in machine learning engineering or applied AI. Strong programming skills in Python and experience deploying generative AI/ML models in AWS is preferred. Design, develop, and deploy machine learning models, including recommendation algorithms and adaptive learning systems, to personalize user experiences in mobile/web apps. Strong programming skills in Python (preferred), TensorFlow, PyTorch, or Scikit-learn
We are seeking a passionate and skilled Applied Machine Learning Scientist with expertise in the speech AI domain to enhance and optimize our production AI systems. Collaborate with Data Engineering, MLOps, and Annotation teams to generate high-quality, targeted datasets. Master's or Ph. D. in Computer Science, Electrical Engineering, or a related field with a focus on Machine Learning or Speech Processing. Proficiency in Python and frameworks such as TensorFlow, PyTorch, or Kaldi. Experience with cloud-based technologies such as AWS, GCP, or Azure and deep learning training with GPUs.
Principal / Senior Machine Learning Engineer. These are high-impact leadership roles focused on designing, deploying, and optimizing fraud detection models for large-scale payment systems.. Powers 98% of gas station payment transactions nationwide. Strong proficiency with Python libraries such as Pandas, Numpy, and deep learning frameworks like PyTorch or TensorFlow. Familiarity with cloud platforms (AWS, Azure, GCP) and infrastructure as code (Terraform)
Based in Emeryville, CA, we are backed by leading investors including Spark Capital, Insight Partners, Air Street Capital, AIX Ventures, and Convergent Ventures.. This position offers an opportunity to work at the forefront of generative modeling research across language processing, representation learning, and protein engineering.. Design and develop state-of-the-art deep learning methods for protein sequence, structure, and function prediction and apply them to protein design. PhD (or equivalent industry experience) in Computer Science, Machine Learning, Natural Language Processing, Applied Math, Computational Biology, Statistics, or a related field. Experience with modern deep learning frameworks such as Pytorch or Jax
Role: Machine Learning Engineer.. We are looking for an entrepreneurial minded Machine Learning Engineer to help us disrupt the e-commerce industry. You have a deep understanding of the different parts of the data pipeline, having been exposed to data analysis, data engineering, analytics engineering and data science. Proven experience taking machine learning algorithms from R&D to product, especially using AWS cloud services. Real world experience as an ML engineer or data scientist role building and deploying ML models or developing deep learning models, with experience in at least 3 of the 5 key machine learning algorithms: Ridge Regression and Lasso, random forests, linear optimization models, sensitivity analysis, and boosting model.
GroupSolver is a market research tech startup based in San Diego with offices in Utah and Kosice, Slovak Republic.. Our clients include leading companies such as Google, Adidas, General Mills, Discovery, Lenovo, and Amazon.. MS/PhD in Computer Science, Machine Learning, Statistics, Applied Mathematics, or a related field.. Proficiency in at least one of the following languages: Python, R/Matlab, Java. Familiarity with spaCy, AllenNLP, Gensim, Pytorch, Tensorflow, Deep Learning
Hive also offers turnkey software applications powered by proprietary AI models and datasets, enabling breakthrough use cases across industries. Together, Hive’s solutions are transforming content moderation, brand protection, sponsorship measurement, context-based ad targeting, and more. Machine Learning Manager.. 4+ years experience as a machine learning engineer, with experience in training large deep learning models and working with real world data.. Knowledgeable in at least one focus area of machine learning, such as computer vision, audio, or NLP
Atlas Air is looking for an exceptional Senior Director of Data Science & Analytics to lead our data-driven transformation and unlock actionable insights that will drive business growth, operational excellence, and fuel Atlas Air's competitive advantage in the outsourced aviation industry.. Advanced degree (MS/PhD) in Computer Science, Data Science, Statistics, Mathematics, Economics, or related quantitative field.. Strong proficiency in Python, R, SQL, and modern data science tools and frameworks.. Strong knowledge of modern data stack technologies (e.g., Snowflake, Databricks, Airflow, dbt, etc. Experience with cloud platforms (AWS, GCP, Azure) and big data technologies (Spark, Hadoop, etc
Learn and Lead: Stay ahead of the curve by engaging with the latest developments in machine learning and AI. Take part in code reviews, share knowledge, and lead by example to maintain high-quality engineering practices.. Demonstrated experience in deep learning and transformers models. Proficiency in frameworks like PyTorch or Tensorflow. Are familiar with methods of training and fine-tuning large language models, such as distillation, supervised fine-tuning, and policy optimization. OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity.
Lead and participate in cutting-edge research and application in artificial intelligence, with a strong focus on Natural Language Processing (NLP), Large Language Models (LLMs), and Transformer architectures. Proficiency in Python and deep experience with ML/Deep Learning frameworks (e.g., TensorFlow, PyTorch, JAX, HuggingFace, LangChain). Demonstrable research experience, evidenced by contributions to projects, and ideally through publications in relevant ML/NLP venues (e.g., NeurIPS, ICML, ICLR, ACL, EMNLP). eCommerce Full Stack Developer (React / Shopify) - On SiteJr. Software Development Engineer - Sunnyvale, CANew Grads 2025 - General Software Engineer.. Software Engineer - New Grad (Fall 2025 Graduation)
Software Guidance & Assistance, Inc., (SGA), is searching for a ML/AI Engineer for a direct placement assignment with one of our premier financial services clients in Tampa, FL. Responsibilities : You will drive, design, PoC critical core components while acting as a trusted advisor to the senior management team and lead architect.. You will make clear, simple and technically sound decisions and champion high standards of coding and architecture best practices.. You will you utilize technical expertise to lead major projects, and you will contribute to product strategy and work closely with the product owner.
Program Overview The Beyond Limits Summer Internship program offers a unique opportunity to explore the world of Artificial Intelligence through an immersive experience.. This internship is a F/T role that spans 8-10 weeks over the summer and will run from mid-June through mid-August of 2024.. In addition to their projects, participants will gain additional knowledge and networking opportunities through technical speaker series, development workshops, and social events as part of the internship.. Ideal candidates should possess a background in one of the following technical areas: data science, artificial intelligence, cognitive computing, machine learning, Knowledge engineering, or natural language processing.. The base pay actually offered will take into account internal equity and also may vary depending on the candidate’s geographic region, job-related knowledge, skills, and experience among other factors.
Description Title: Sr. Data ScientistReports To: Director of EngineeringDepartment: Product & EngineeringLocation: Cincinnati, OH or Seattle, WAPosition Status: Salary ExemptAbout DMG:Divisions Maintenance Group provides facility maintenance services to retail chains and distribution and fulfillment centers across the country.. We are leading the way with our technology, creating world-class products that are revolutionizing the industry and fulfilling our brand promise of “Uninterrupted Peace of Mind.”DMG is a Certified Great Place to Work with a strong, inclusive culture and top-notch benefits.. We believe analytics will be a game-changer in the industries we operate in, and we are seeking a Data Scientist to help build and scale our data science and software engineering capabilities.. Apply a variety of advanced analytical techniques including predictive modeling, machine learning, time series analysis, simulation, and optimization.. What You'll Get:At DMG, you’ll be part of an amazing team that encourages learning, growth, and advancement.
OverviewShape the Future of DS/ML/AI at LutronAs a Manager of Data Science, Machine Learning, and Artificial Intelligence at Lutron, you'll play a vital role in driving our data science and AI projects, helping to create innovative, ML solutions that enhance our products intelligence, customers' experiences and improve operational efficiency.. Lutron is a leader in lighting control and automation, committed to innovation and excellence in every product and service.. Model Development & Deployment: Design, build, and deploy machine learning models that address critical business challenges, such as predictive analytics, customer behavior modeling, and process optimization.. Governance & Ethics: Uphold high standards for data quality, security, and privacy through rigorous data governance practices.. Lutron Electronics' position as the worldwide leader in innovative lighting control and shading solutions has enabled consistent, annual growth.
As a fast-growing company striving to make a difference every day, we are seeking a Machine Learning Scientist to help build and maintain our cutting-edge machine learning pipeline and the critical tools and infrastructure that support it.. We are looking for hands-on work experience in several of the following areas: vision-based deep learning, neural network architecture design, edge deployment, traditional computer vision, 3D graphics and simulation, robotics, MLOps, and full-stack development.. Research cutting-edge machine learning techniques in the literature and propose methods to integrate them into our stack.. proficiency in Python, particularly with libraries like PyTorch, NumPy, or OpenCV.Experience with software development and deployment in a Linux environment.. The ability to design, prototype, and evaluate new features in our machine learning models.
Unlock the power of data as a Machine Learning Engineer on our dynamic team!. - Design and develop scalable machine learning systems. - Proficiency in Python, R, or similar programming languages. - Familiarity with big data technologies like Hadoop or Spark. Help us harness the potential of machine learning to drive business success!
Job Title: Research Engineer, Machine Learning. Avigilon’s Boston Development team is looking for a versatile and talented Research Engineer to work in a multidisciplinary team of Engineers and Research Engineers with the goal of building the next generation of artificial intelligence solutions for Video Surveillance and Business Intelligence.. As a Research Engineer, your responsibility is to develop and train the underlying algorithms.. Research and develop in cutting edge area of Deep Learning, Machine Learning and Computer Vision. Evaluate state-of-the-art algorithms for security surveillance applications that run on embedded devices and servers
Expertise in predictive modeling, data mining and data analysis.. Demonstrated mastery running queries against data (preferably with Google BigQuery or SQL).. Proficient with data visualization software (preferably Tableau).. Proficient in Prescriptive Modeling like optimization, computer vision, recommendation, search or NLP. Proficient in predictive modeling, data mining and data analysis