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Senior Machine Learning EngineerAs a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale.. You’ll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications.. What you’ll do in the role: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering.. Plano, TX: $144,200 - $164,600 for Senior Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter.. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI).
The ML engineer will apply their skills and knowledge in data science, machine learning, statistics, programming, and software engineering to explore solutions for improving trading strategy performance, energy/LMP forecasting performance, benchmarking competition, and backtesting trading/hedging strategies.. Develop, maintain, and improve SB Energy’s Solar+ Storage trading tool using machine learning pipelines for CAISO and ERCOT markets.. Implement data science and ML engineering best practices in automated algorithmic trading, backtesting, and benchmarking use cases.. Strong working experience with Python data science and machine learning packages, such as NumPy, Pandas, Matplotlib, Plotly, Scipy, stats model, XGBoost, Scikit-Learn, Keras, TensorFlow, PyTorch, pyomo, OR-tools etc.. The candidate is familiar with the technical aspects of solar + storage modeling for CAISO and ERCOT markets, power systems, including power flow modeling, basis, congestion, transmission network, and the impact of generation (solar, wind, gas, coal, etc.)
As a Senior AI Engineer on the AI/ML team, you will be responsible for training and tuning the models and performing model evaluations using Deep Learning Machine Learning (AI/ML) Models, and Large Language Models. Fluent in some of these machine learning frameworks such as SKLearn, XGBoost, PyTorch, or Tensorflow, and can leverage code as a strategic tool to shape innovative solutions.. For non-sales roles the hiring ranges reflect base salary only; employees are also eligible to receive annual bonuses.
Somite.ai is a venture-backed company transforming stem cell biology with AI. We recently raised over $47 million in a Series A funding round, bringing our total funding to about $60 million.. As a Senior Machine Learning Engineer – Foundational Models, you will play a key role in building large-scale models for single-cell RNA sequencing data, trained on trillion-token datasets.. This role is ideal for someone passionate about applying LLM-scale machine learning to complex biological challenges.. Design and implement novel deep learning architectures, including transformer-based models tailored to biological data. Very strong proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow
· Experience in Java threading and concurrency. Very Strong Problem solving skills and algorithm knowledge. Working experience in Data extraction / Parsing, NLP. · Experience in developing scalable distributed applications using Big Data technologies like hadoop, storm, spark etc. All your information will be kept confidential according to EEO guidelines.
The Essential Skills Every Machine Learning Engineer Should Learn.. So what does it take to thrive as a machine learning engineer today?. Fluency with OOP principles like inheritance, encapsulation, and polymorphism enables cleaner system design and code reuse. Experience with tools like Apache Spark, Kafka, and Hadoop allows for pre-processing large datasets for model training and deployment. Dean, part of the nomadic human tribe, believes a boat anchored ashore is a tragedy, as it denies the boat its purpose.
As a Staff ML Scientist / Lead Data Scientist, you'll tackle complex challenges in personalization, trust & safety, marketing optimization, and product experience.. Lead the adoption and application of cutting-edge AI trends and technologies, establishing Poshmark as a pioneer in data science.. Proficiency in Python, SQL, and Spark (Scala or PySpark), with experience in deep learning frameworks such as PyTorch or TensorFlow.. Solid understanding of linear algebra, statistics, probability, calculus, and A/B testing concepts.. Medical plans including HMO, PPO, and HDHP with employer contributions to HSA
As a Research Engineer at Snorkel AI, you will bridge the gap between cutting-edge research and real-world AI systems. Design, implement, and validate novel AI techniques for data development such as synthetic data generation, utilizing techniques such as LLM as a Judge.. Strong expertise in AI, NLP, multi-modal models, LLMs, and generative AI, with an emphasis on applied research and system-building. Proficiency in Python and machine learning frameworks (NumPy, Scikit-learn, Pandas, PyTorch, TensorFlow, etc.. Familiarity with ML infrastructure, cloud platforms (AWS, Google Cloud), and accelerators (GPUs, TPUs).
We are looking for a curious and innovative Machine Learning Engineer to explore, experiment and build AI driven solutions that analyze customer journey and go to market data. Research, prototype and experiment with a variety of AI/ML libraries, frameworks, and tools to identify the best approaches for analyzing go to market data.. 3+ years of experience in machine learning with hands on experience building and deploying ML models.. Master’s degree in Machine Learning or Computer Science (heavily focused on Machine Learning/Artificial Intelligence).. Familiarity with natural language processing (NLP)
Provide comprehensive support for analytics & BI initiatives across the CRM team which includes assisting with ETL processes, optimizing data pipelines and troubleshooting data quality issues to ensure the integrity and reliability of analytical insights. Work closely with data engineering, data science and BI teams to ensure data integrity, accuracy and accessibility for analysis and reporting purposes. Data visualization tools and BI platforms (Tableau and Power BI) for creating interactive dashboards and reports;.. Statistical analysis and modeling techniques, including regression analysis, clustering, and predictive modeling; and.. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, gender, citizenship, marital status, religion, age, disability, gender identity, results of genetic testing, veteran status, as well as any other legally-protected characteristic.
singhlabucsf.org) is seeking a highly motivated Junior/Assistant/Associate/Full Specialist to join our research program at the intersection of aging biology, genomics, and machine learning. We integrate cutting-edge single-cell RNA sequencing (scRNseq) and other multi-omics datasets with advanced machine learning techniques to decipher the intricate genomic changes that drive aging and age-related diseases. Collaborate with a dynamic team of researchers with multi-disciplinary expertise in genomics, bioinformatics, and aging biology. Contribute to a vibrant research community at UCSF, including the Bakar Aging Research Institute (BARI) and the Bakar Computational Health Sciences Institute (BCHSI). Proficiency in Python and relevant libraries for machine learning (e.g., scikit-learn, TensorFlow, PyTorch).
We are seeking an exceptional Research Scientist to join our team, focusing on developing cutting-edge diffusion models for text-to-video generation.. Stay at the cutting edge of the field by regularly reviewing academic literature and attending top-tier conferences. Ph. D. in Computer Science, Artificial Intelligence, Machine Learning, or a closely related field. Proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow. Familiarity with video codecs, compression techniques, and perceptual quality metrics
PhD in Computer Science, Machine Learning, Biomedical Engineering, or a related field. Proven ability to drive high-impact research as both a lead author and as a mentor or advisor demonstrated by top-tier publications (NeurIPS, ICML, CVPR, Nature Medicine). Extensive hands-on experience with modern deep learning frameworks (PyTorch, TensorFlow) and medical imaging libraries (MONAI, DICOM, ITK). Deep expertise in transformer architectures, self-supervised learning, multi-modal fusion, and foundation models. Experience with MLOps, cloud-based ML pipelines, and model deployment in production environments (AWS/GCP/Azure)
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. This individual will play a key role in helping lead the transformation of Atlas Air into a data driven and innovative leader in the transportation and logistics industry. 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
A postdoctoral researcher position is available at UNC under Prof. Mohit Bansal in the UNC-NLP Lab. The focus of this NLP+ML postdoc position will include, but is not limited to, multimodal+embodied semantics, human-like language generation and Q&A/dialogue, and interpretable and generalizable deep learning.. Minimum Education and Experience Requirements Applicants should have (or expect to receive before the start of the position) a PhD in Computer Science or EE/ECE on a topic in machine learning applied to natural language processing, computer vision, or a related area.. Required Qualifications, Competencies, and Experience Strong publication record in NLP, ML, or related areas -Strong programming skills, including TensorFlow and/or PyTorch -Demonstrated strong communication, teamwork, and leadership skills.. Strong publication record in NLP, ML, or related areas -Strong programming skills, including TensorFlow and/or PyTorch -Demonstrated strong communication, teamwork, and leadership skills.. Preferred Qualifications, Competencies, and Experience Applicants should have (or expect to receive before the start of the position) a PhD in Computer Science or EE/ECE on a topic in machine learning applied to natural language processing, computer vision, or a related area.
We are seeking a highly motivated Applied AI Research Scientist to join a cutting-edge AI Lab focused on generative AI and computer vision.. Conducting seminal research that advances the frontiers of image and video generation, 3D modeling, and multimodal learning. We use PyTorch, TensorFlow, and proprietary tools for scalable model training and deployment.. Industrial research experience, either as a full-time employee or intern, with projects in computer vision, computer graphics, or natural language processing (NLP). PhD in Computer Vision, Computer Graphics, NLP, or a closely related field
Job description Infosys is seeking Data science AI/ML Architect Consultant.. Candidate will analyze raw data: assessing quality, cleansing, structuring for downstream processing.. Candidate will be responsible for use-case derivation and solution creation from structured/unstructured data Candidate will be responsible for Storytelling, Business & stakeholder communication and Documentation Required Qualifications: Candidate must be located within commuting distance of Phoenix, AZ or Richardson, TX or be willing to relocate to the area.. Preferred Qualifications:Knowledge of Cloud Implementation – Azure, Kubernetes/Docker Experience in developing & deploying Microservices, Data Modelling, Database Design, Tuning Design Parameters, Normalization, Solving Performance bottlenecksExperience in Middleware, Open-Source tools & technologiesExcellent problem-solving skills and attention to detail.. Infosys provides equal employment opportunities to applicants and employees without regard to race; color; sex; gender identity; sexual orientation; religious practices and observances; national origin; pregnancy, childbirth, or related medical conditions; status as a protected veteran or spouse/family member of a protected veteran; or disability.
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.. Responsibilities: Research and develop in cutting-edge areas of Deep Learning, Machine Learning, and Computer Vision.. Nor will AUTOMATION TECHNOLOGIES LLC require in a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract.
Distilr at Compass Digital is seeking an experienced and highly skilled Manager, Data Science to join our team and lead the development of cutting-edge AI/ML solutions to help our partners make smarter business decisions.. The successful candidate will:Now, if you were to come onboard as our Manager, Data Science, we'd ask you to do the following for us: Lead the design and implementation of end-to-end ML pipelines for the development of a state-of-the-art supplier analytics platform Collaborate with cross-functional teams to identify business needs and develop innovative data-driven solutions that drive measurable impact.. Stay updated with industry trends, emerging technologies, and best practices in machine learning, AI, LLMs, and data science.. Experience with cloud-based data platforms (AWS, GCP preferred) and related services (Airflow, Sagemaker, Vertex AI).. Proficiency with Python libraries like TensorFlow, PyTorch, scikit-learn.
Overview We are looking for a skilled AI Technical Consultant who can blend technical expertise in artificial intelligence systems with strong consultative skills.. - Ongoing Support: Monitor AI systems for optimal performance and ROI. - Market Awareness: Stay updated on AI advancements to inform strategic recommendations.. - Documentation:Contribute to internal knowledge sharing for continuous improvement.. Qualifications - Education: Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, or related field.. - Technical Skills:Proficiency in Classical ML, Gen AI, Deep Learning, Python, R, Java, TensorFlow, PyTorch, NLP, data analytics, and AI stacks from Azure or AWS. - Certifications: Certified AI Consultant (CAIC) certification preferred