Computer Scientist jobs in United States, Pennsylvania, Pittsburgh
Apple AIML - Research Scientist MIND Perception Interaction United States, Pennsylvania, Pittsburgh
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- M.S. or Ph.D. in Computer Science, Electrical Engineering, Robotics, or related fields
- Deep expertise in at least one of the following areas:
- Machine learning research and engineering, including real-world model deployments
- Signal processing and multimodal machine learning, including large language models
- Hardware, sensors, and real-time data pipelines
- Strong software programming/prototyping skills (ideally in Python or Swift)
- Excellent communication skills
- Ability to present complex technical concepts to both expert and non-expert audiences
- Proven track record of contributing to diverse teams in a collaborative environment
- A background in Human-Computer Interaction is a significant plus
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Apple AIML - Research Scientist AI Interpretability & Visualizatio... United States, Pennsylvania, Pittsburgh
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- You should have availability to work on a regular schedule of Wednesday to Sundays (inclusive of both Saturday and Sunday) at our partner stores, and reliably attend work as scheduled, in line with local laws and subject to any approved accommodations
- Experience leading a diverse field sales team across a territory or market.
- Quick on your feet and connect and influence the right people inside and outside of Apple; you are trusted and comfortable in challenging situations.
- Enjoy working in a collaborative team with open dialogue and debate. You empower your teammates to do their life’s best work.
- Believe that communication is key to success. You actively listen and discuss the possibilities with customers and teammates alike.
- See the world in the eyes of the customers and partners by deeply understanding their business needs, challenges, and concerns.
- There are many moving parts in an organisation, and navigating the interdependencies within Apple is needed for success. Understanding how business financials work and strategies for sustaining profitable growth are essential to staying ahead of the competition.
- We do not cut corners in products or business. You bring the highest integrity, honesty, and accountability in all you do daily.
- Open to feedback and relate well to all kinds of people. When faced with an exciting opportunity, you know whom to connect with and when. People know you as a true collaborator who knows what it takes to win.
- Empower others to learn, be curious, and ultimately share your passion for the Apple story.
- Strive for excellence in everything you do. You have a don’t give up attitude and finish, especially in the face of resistance or setbacks.
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PNC Data Scientist Senior United States, Pennsylvania, Pittsburgh
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Master’s degree in Analytics, Economics, Engineering, Statistics, Mathematics, or Information Systems Management plus 3 years of experience in data querying with SQL and programming in Python for developing applications for a large organization (>10,000 employees) is required. Must have experience with: (i) handling, manipulation and analysis of large datasets (multiple gigabytes of data) persisted on Hadoop, Neo4j and cloud data platforms; (ii) using statistical analysis techniques including logistic regression, time series analysis, and hypothesis testing; (iii) utilizing data query tools including SQL, R, and Python to manipulate, analyze and interpret data; (iv) writing and implementing code to clean and transform large tabular and text datasets (typically exceeding 1 million rows of data) to a consistent format usable in data visualization and developing machine learning models; (v) enriching in-house data by integrating with external data sources (Bureau and third party vendor data) to extract and analyze trends for risk management; (vi) designing rich data visualizations to communicate complex ideas to customers or company leaders; (vii) programmatically extracting data from a Hadoop database and transforming the data into a presentable form using Python plotting libraries (Matplotlib and Seaborn) and Tableau visualizations; and (viii) building machine learning models to drive business insights and improve financial outcomes.
This position is subject to the requirements of Section 19 of the Federal Deposit Insurance Act (FDIA) and, for any registered role, the Secure and Fair Enforcement for Mortgage Licensing Act of 2008 (SAFE Act) and/or the Financial Industry Regulatory Authority (FINRA), which prohibit the hiring of individuals with certain criminal history.
California ResidentsRefer to the
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Amazon Sr Applied Scientist AGI - Neural Efficiency Science United States, Pennsylvania, Pittsburgh
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Position Responsibilities:
- Participate in the design, development, evaluation, deployment and updating of data-driven models and analytical solutions for machine learning (ML) and/or natural language (NL) applications.- Routinely build and deploy ML models on available data.
- 3+ years of building machine learning models for business application experience
- PhD, or Master's degree and 6+ years of applied research experience
- Experience programming in Java, C++, Python or related language
- Experience with neural deep learning methods and machine learning
PREFERRED QUALIFICATIONS
- Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.
- Experience with large scale distributed systems such as Hadoop, Spark etc.
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Amazon Applied Scientist AGI - Neural Efficiency Science United States, Pennsylvania, Pittsburgh
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- Pioneer new approaches to foundation models
- Publish and present research at top-tier conferences and journals
- Work with state-of-the-art LLMs and multi-modal foundation models
- Access to substantial computational resources for researchKey job responsibilities
- Research and develop novel techniques for efficient runtime inference (low latency, high throughput)
- Design and evaluate efficient foundation model architectures
- Create new methods for improving training efficiency
- Conduct experimental studies to validate efficiency improvements
- Write high-quality Python code to implement research ideas- Author technical documentation and research papers
- Present findings to technical and non-technical stakeholders
A day in the life
Your day might start with a team stand-up to discuss ongoing projects and brainstorm solutions to technical challenges. You'll spend time implementing and testing new efficiency optimization techniques in Python, analyzing performance metrics, and iterating on approaches. You'll collaborate with team members to review code and research results, participate in technical discussions about architecture designs, and engage with other AGI teams to understand their efficiency needs. You might end your day analyzing experimental results or writing up findings for a research paper. Throughout the week, you'll have opportunities to present your work to stakeholders and contribute to the team's research roadmap.
BASIC QUALIFICATIONS
- 3+ years of building models for business application experience
- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
- Experience programming in Java, C++, Python or related language
- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing
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Facebook Software Engineer Computer Vision - Reality Labs United States, Pennsylvania, Pittsburgh
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- Apply relevant AI and machine learning techniques to build intelligent rich visual systems that improve Meta's products and experiences
- Consistently and sustainably advance the state of AI for your problem, including setting and executing against roadmaps for 6-month plus timeframes
- Effectively define projects for other engineers to possibly solve and achieve impact based on your direction
- Develop novel, accurate AI algorithms and advanced systems for large scale applications
- Understand why some signals and model configurations work while others don't and be able to drive more gain from these findings
- Define use cases and develop methodology and benchmarks to evaluate different approaches
- Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
- Experience developing computer vision algorithms or computer vision infrastructure in C/C++ or Python
- Experience in one or more of the following areas: Deep Learning, Computer Vision, AR/VR, 3D Vision, Robotics, Machine Learning or artificial intelligence
- Experience with distributed systems or on-device algorithm development
- Experience in deep learning and PyTorch
- Experience contributing to AI Publications
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Facebook AI Research Scientist Computer Vision - XR Tech United States, Pennsylvania, Pittsburgh
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- Conduct applied research and develop novel, accurate AI algorithms and advanced systems for large scale applications
- Work on large initiatives or multiple projects of high complexity/scope and define clear long term objectives with short and medium term goals
- Collaborate with different cross functional teams in research and product sides
- Give technical research direction to the team as tech lead
- Mentor other researchers in the team
- Coding %: 70. System Design %: 30
- Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
- PhD in Computer Science, Computer Engineering, or relevant technical field with 5+ years of experience
- Understanding of state-of-the-art full body human 3D reconstruction and 3D telepresence
- Led XFN groups across research and product towards meeting experiential and engineering targets
- Track record of delivering research into production, driving algorithmic changes towards on-device optimization
- Experience developing computer vision and machine learning algorithms in C/C++ and/or Python/PyTorch
- First-authored publications at peer-reviewed conferences (e.g. CVPR. ECCV, ICCV, NeurIPS, SIGGRAPH)
- Experience solving complex problems and comparing alternative solutions, tradeoffs, and diverse points of view to determine a path forward towards bringing state-of-the-art approaches onto real world devices
- Experience working and communicating cross functionally in a team environment
- Experience in machine learning infra systems
- Experience with CPU/GPU and mobile optimization
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- M.S. or Ph.D. in Computer Science, Electrical Engineering, Robotics, or related fields
- Deep expertise in at least one of the following areas:
- Machine learning research and engineering, including real-world model deployments
- Signal processing and multimodal machine learning, including large language models
- Hardware, sensors, and real-time data pipelines
- Strong software programming/prototyping skills (ideally in Python or Swift)
- Excellent communication skills
- Ability to present complex technical concepts to both expert and non-expert audiences
- Proven track record of contributing to diverse teams in a collaborative environment
- A background in Human-Computer Interaction is a significant plus
These jobs might be a good fit
