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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).
VideaHealth is a cutting-edge AI-powered solution for dentistry, developed by a team of seasoned leaders, engineers, AI scientists, and clinicians spun out of MIT. Our vision is to be the first company to diagnose a billion people globally. We are looking for a Machine Learning Engineering Manager to join our team and execute on ambitious milestones and influence our product direction. You will collaborate with company advisors from MIT and Harvard whose expertise spans machine learning, medical imaging, and getting products successfully through the FDA. We are looking for an individual with an exceptional Machine Learning background and a track record of proven delivery who is not shy to take on extensive responsibilities and lead the team through complex technical problems. 7+ years of hands-on development building deep learning and/or data pipelines. Publications or blog posts displaying excellent writing on data science or machine learning topics.
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 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
In this role, you will lead end-to-end AI strategy, shape the applied science roadmap, and develop next-generation models in NLP, deep learning, and large-scale AI systems.. Drive High-Impact Research – Conduct advanced research in NLP, RL, LLMs, and deep learning, publishing in top-tier conferences while applying findings to real-world production systems.. Academic & Industry Recognition: Masters + At least two peer-reviewed publications in deep learning, NLP, or a related AI domain or a PhD in Computer Science, Machine Learning, Statistics, or a related quantitative field.. Programming & Frameworks: Proficiency in Python and deep learning frameworks (TensorFlow, PyTorch, LangChain, Llama Index).. Industry Impact: Publications at top-tier ML/NLP conferences (NeurIPS, ICML, ICLR, ACL, EMNLP, NAACL, AAAI).
We are looking for a Senior AI/ML Engineering Manager to lead our team of hard-working machine learning and software engineers.. Proficiency in Python, SQL, and other AI/ML libraries.. Strong experience with machine learning frameworks such as SageMaker, TensorFlow, Pytorch.. Experience in Streamlit, Snowflake, or Kubernetes is a plus.. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP).
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.
As a Research Scientist on our team, you'll work on research problems that can improve vision, multimodal models, contribute to open foundation models, and experiment with mobile robots in the real world. We seek applicants interested in computer vision, NLP, machine learning, robotics, agents, and embodied AI. International candidates are welcome. Our research topics include Embodied AI, Robotics, LLMs, Web Agents, Foundation models, Visual reasoning, Representation learning, Image/video generation and editing, Efficient deep learning, and more. Qualifications include a PhD in relevant areas, a strong publication record, experience with deep learning frameworks (PyTorch, TensorFlow, Jax), and contributions to open-source libraries. Voluntary insurance options, HSA, FSA, 401(k), and stipends for commuting, internet, fitness, and wellbeing.
Machine Learning Engineer - ML Ops. Our team has experience building billion-dollar companies and includes veterans from Oracle, Palantir, Apple, Amazon, and Microsoft. We're funded by Andreessen Horowitz, Tiger Global, Dell, Bloomberg, and Ram Sriram (first investor in Google). Experienced with data engineering technologies, such as Airflow, Spark, Trino, Flink, or BigQuery. Familiarity with Python and PyTorch, Tensorflow, or JAX.
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).
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 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)
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
Collect, ingest, and preprocess multi-source data sets from HUMINT, SIGINT, OSINT, open-source platforms, social media, sensor data, and commercial datasets.. Apply advanced analytical techniques—including machine learning (ML), natural language processing (NLP), deep learning (DL), and predictive modeling—to extract operational insights.. Experience with Python, R, SQL, and ML frameworks (Scikit-learn, TensorFlow, PyTorch).. Experience integrating OSINT, HUMINT, SIGINT, and GEOINT into cross-domain analysis.. Experience with cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes).
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 focused on Cloud, Enterprise DevSecOps, Artificial Intelligence, and Digital Customer Experience to drive mission-enabling digital transformation.. Collaborate with data scientists, DevSecOps teams, and software engineers to integrate data solutions across environments.. Collect data provenance and integrity requirements from government stakeholders Decompose requirements into technical development requirements that can be executed Proficiency with Kubernetes or Terraform for infrastructure management and automation.. Familiarity with cloud platforms such as AWS, Azure, Google Cloud, and their data services.. Comprehensive Medical, Dental, and Visions Plans (Healthcare benefits are 100% employer-paid for employees only) Life Insurance Paid Time Off (Flexible/Combined PTO, Bereavement Leave, 11 Company Paid Holidays) 401K Retirement Plan with employer match Professional Development Training Reimbursement Flexible/remote work schedules Target salary range: $120,001 - $150,000.
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.
Professional experience in Data Engineering using Google Big Query (GBQ) and Google Cloud Platform (GCP) data sets and building data pipelines.. Hands on and deep experience working with Google Data Products (e.g. BigQuery, Dataflow, Dataproc, Dataprep, Cloud Composer, Airflow, DAG etc. Experience in DBT to create the lineage in GCP. - Optional. Design and develop the ETL ELT framework using BigQuery, Expertise in Big Query concepts like Nested Queries, Clustering, Partitioning, etc.. Experience in Data Integration, Data Transformation, Data Quality and Data Lineage tools.
Amazon Agentic AI is looking for world class scientists to join its newly created org focusing on agentic AI. This group is entrusted with developing core natural language processing, agents, generative AI, deep learning and machine learning algorithms for AWS, with a focus on code development, broadly defined.. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique.. - Experience with neural deep learning methods and machine learning. - Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.