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7 years of data science, operations research and/or software engineering experience in Artificial Intelligence and Machine Learning with a proven track record of building and deploying AI models. Master’s degree or PhD, or equivalent experience in Data Science, Information Technology, Applied Mathematics, Engineering, Computer Science or related field. Prior experience leading technical engagements across data engineering, data science, AI, and Gen AI workstreams. Experience with delivering solutions on major cloud platforms, data science tools, and Gen AI technologies. Facilitates communication between executives, staff, management, vendors, and other technology resources within and outside of the organization.
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).
As a Staff Machine Learning Engineer , you will own significant swaths of our AI tech stack, driving decisions that prioritize the most impactful investments and ensuring the highest standards of experimental rigor. Within your first six months, you will be responsible for laying the groundwork for long-term success; establishing AI strategy, developing tooling, and training the next generation of Ambience’s foundation models tailored to medicine. Experienced Professional: You have 5+ years in a technical role as a software engineer or machine learning engineer/researcher, including 2+ years specifically in machine learning roles. Strong Software Engineering Skills: Fluent in Python and deep learning frameworks like PyTorch, TensorFlow, or JAX. Capable of setting up end-to-end training pipelines, debugging model issues, visualizing metrics in Jupyter notebooks, refactoring code for distributed training, and deploying models to production. Competitive salary and equity compensation with benefits including health, dental, and vision coverage, paid maternity/paternity leave, quarterly retreats, unlimited PTO, and a 401(k) plan.
We are cloud-first and aim to automate everything, including infrastructure, testing, and deployment. Design, implement, train and maintain machine learning algorithms and ML system pipelines. Strong ability to use key Python libraries such as Pandas, Numpy and deep learning libraries like PyTorch or Tensorflow. Familiarity with cloud technologies, such as AWS, Azure, or GCP and how to provision those services through IAC frameworks such as Terraform. Non-sales roles are typically eligible for a quarterly or annual bonus based on their role and applicable plan.
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
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.
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.)
Nurix Therapeutics is a clinical stage biopharmaceutical company focused on the discovery, development, and commercialization of targeted protein degradation medicines, the next frontier in innovative drug design aimed at improving treatment options for patients with cancer and inflammatory diseases.. This critical role will be instrumental in driving innovation in drug discovery by leveraging the power of machine learning techniques to accelerate our targeted protein degradation (TPD) research programs.. Ph. D. in Machine Learning, Computer Science, Bioinformatics, Computational Biology/Chemistry, Statistics, or a related scientific field with appropriate experience.. Strong foundation in core machine learning and deep learning algorithms , including supervised, unsupervised, reinforcement learning, and their application in drug discovery or life sciences contexts.. Proficiency in Python and experience with deep learning frameworks (e.g., TensorFlow, PyTorch).
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
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).
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.
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 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
Sealy Institute for Drug Discovery (SIDD) Faculty Opportunities (sidd/home) The newly established Sealy Institute for Drug Discovery seeks an outstanding bioinformatics expert for a tenure-track position at the rank of Assistant Professor at the University of Texas Medical Branch (UTMB), Galveston, Texas.. The candidate is expected to have skills such as:MINIMUM QUALIFICATIONS:PhD in Computer Science, Bioinformatics, Computational Biology, or a related field, with a strong emphasis on AI and machine learning.. Demonstrated ability to handle large (Big Data) datasets and experience with computational tools and databases relevant to genomics, proteomics, and drug discovery.. Strong theoretical understanding of key frameworks and AI model architecturesPREFERRED QUALIFICATIONS:Proficiency in Python and R as well as key frameworks for AI development (e.g. PyTorch, TensorFlow, JAX or equivalent).. In addition to a highly collaborative environment, UTMB offers outstanding research facilities for next-generation sequencing, mass spectrometry, optical microscopy, flow cytometry, solution biophysics, NMR, X-ray crystallography, cryo-electron microscopy, scientific computing, bioinformatics and deep computational resources, both locally and through the University of Texas system.
As the nation's largest senior care advisory service, A Place for Mom helps hundreds of thousands of families every year navigate the complexities of finding the right senior care solution for their loved ones across home care, independent living, memory care, assisted living, and more.. Job DescriptionA Place for Mom is looking for a Staff Machine Learning Engineer to help build practical, data-driven machine learning applications focused in the Engineering space.. This position reports to the VP of Engineering and works directly in the Engineering organization while also working closely with the Data Science team which includes data scientists and machine learning engineers.. understanding of real-time inference systems, streaming data pipelines, model serving services, feature store monitoring and latency optimization for ML & LLM applicationsSolve complex problems with multilayered data sets and optimize existing machine learning libraries and frameworks.. Technical Skills: Expertise in SQL, Databricks, AWS services, Python, Spark and machine learning frameworks such as XGBoost, Scikit, TensorFlow, Keras or PyTorch.
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.
Design robust, automated systems that enable data scientists and ML engineers to deploy, monitor, and maintain machine learning models in production environments.. Build automated CI/CD systems for machine learning model lifecycle management. Proficiency in container technologies (Docker, Kubernetes) and cloud platforms. Experience with ML frameworks (TensorFlow, PyTorch, Scikit-learn) and MLOps tools. Experience with data pipeline tools (Airflow, Kafka, Spark) and databases
Mentoring junior data scientists and providing guidance on AI and machine learning best practices. Setting strategy and team direction, with a clear vision for Data Science. Deep understanding of machine learning algorithms, including deep learning, gradient boosting, and random forests. Experience working directly with large language models and Transformer based architectures including BERT, RoBERTa, T5, etc.. Working understanding of the business risks associated with applying LLM in a business
Metropolis is seeking a Manager of Machine Learning and Applied Science who can bring deep expertise in applied science with a proven record of shipping at scale.. As a Machine Learning and Applied Science manager within the Advanced Technologies organization, you will be responsible for leading a team of diverse engineers and scientists to deliver high-impact models and algorithms.. Responsibilities Lead the Machine Learning and Applied Science team through strategic roadmaps to support business initiatives with high impact.. Manage the team through all phases of machine learning development, from concept and design to deployment and monitoring.. 2+ years of experience as a hands-on senior, staff, or principal engineer with demonstrated end-to-end ownership of a machine learning project before transitioning into managing teams.