Software Engineers & Data Scientists / Big Data / AI / ML
Composable Analytics, Inc.
We are looking for new team members with amazing technical skills and collaborative attitudes, that enjoy having the freedom to innovate and invent, while advancing new ideas and implementations, and shaping the product direction.
This is your chance to be a critical part of this development team.
Full-time positions are available immediately for:
- Front-End UI Developers passionate about creating well-architected user interfaces and fluent in current best practices for responsive and accessible design
- Junior and Senior level Software Engineers that have the ability to work across all layers of the application, from back-end databases through to the UI
- Data Scientists skilled at pattern recognition, predictive analysis, data mining and expert system concepts
We’re looking for developers with knowledge of software systems and design principles, that can code the entire stack, with an interest in:
- Designing and building Web applications using HTML5, JavaScript, XML, JSON and RESTful web services
- Building and maintaining large-scale, distributed, web-based platforms, utilizing cutting-edge technologies and delivering innovative features
We’re looking for data scientists with strong, hands-on development experience, with an interest in:
- Developing novel data models, integrating diverse data types, utilizing SQL, NoSQL and other technologies
- Building tools, workflows, and dashboards for data selection, pre-processing and enrichment
- Creating predictive and automated machine learning algorithms
Link:
https://composable.ai
Senior software engineers, Java (Multiple Openings)
Ripple Labs Inc.
Ripple is the world’s only enterprise blockchain solution for global payments. Today the world sends more than $155 trillion across borders. Yet, the underlying infrastructure is dated and flawed. Ripple connects banks, payment providers, corporates and digital asset exchanges via RippleNet to provide one frictionless experience to send money globally.
Ripple is looking for Senior Software Engineers to help build the next generation of payment applications that enable banks to instantly settle cross-border payments to create the Internet of Value. Ripple’s distributed financial technology outperforms today’s banking infrastructure by driving down costs, increasing processing speeds and delivering end-to-end visibility into payment fees, timing and delivery.
Link:
Https://ripple.com/company/careers/all-jobs/
Principal Data Scientist
Fidelity Investments
Build and deploy cutting edge A.I. across a very stable and diversified financial investment firm, as part of the A.I. Center of Excellence.
[New Grad] Service Engineer and SDK/Tools engineer
Ripple Labs
The Interledger Protocol (ILP) provides the foundation for the Internet of Value. ILP is an open protocol that enables sending money in any currency and any amount to be as easy, fast, and inexpensive as sending information across the internet today. Like routers on the Internet, Interledger connectors route packets of money across independent payment networks. The open architecture and minimal protocol enable interoperability for any value transfer system. Interledger is not tied to any one company, blockchain, or currency.
We believe that interoperability is critical to achieving the Internet of Value and envision a widely available Interledger network allowing anyone to pay or get paid in the currency of their choice, nearly instantaneously and at minimal cost. We are looking for engineers who share in that vision. It’s a big vision and we have a lot of work to get there but we are committed to building out the team to achieve this.
Link:
https://ripple.com/company/careers/all-jobs/
Program Analysis Software Engineer
r2c
We're a small San Francisco startup passionate about analyzing code and measuring its security. We provide tools to developers, hackers, and researchers that simplify program analysis and make it possible to analyze entire software ecosystems quickly (e.g. every publicly available JavaScript project on GitHub). Security issues are an open source public health problem; with your help we can vaccinate the community against entire classes of exploits. Come join us and give back to the open source community!
You'll be an early program engineer working with our designers, developers, and academic research partners to create a platform that brings together program analysis authors with people who review and fix issues in open source software.
We take an empirical approach to product development, proposing experiments and rigorously validating our ideas. We believe in building each other up and 'yes and...' conversations! You’ll have the opportunity to meet with users and set the direction of the product here.
Responsibilties
Design and help build program analysis tools to run at scale across open source JavaScript
Use them to design codebase-wide protections and mitigations for security flaws, ex: a URL parsing library for SSRF
Influence the design and implementation of program analysis APIs for external users
Develop systems or frameworks (e.g. linters, analysis tools, and other developer-workflow integrations) that help other engineers improve security
Minimum Requirements
BS degree in Computer Science, similar technical field of study, or equivalent practical experience
2+ years of relevant work experience in software development
Professional coding experience in C/C++, Python, Haskell, etc.
Familiarity with program analysis and transformation concepts and tools, e.g. SSA, LLVM IR, taint tracking
Interests in compilers, programming languages, functional programming, or program analysis
Passion for software security
We are an equal opportunity employer and value d
Link:
https://jobs.lever.co/returntocorp/a0185a91-bc99-428c-9441-515489212738
r2c fellowship
r2c
We're a small San Francisco startup passionate about analyzing code and measuring its security. We provide tools to developers, hackers, and researchers that simplify program analysis and make it possible to analyze entire software ecosystems quickly (e.g. every publicly available JavaScript project on GitHub). Security issues are an open source public health problem; with your help we can vaccinate the community against entire classes of exploits. Come join us and give back to the open source community!
We need the best and brightest researchers to bring their passion, curiosity, and knowledge to help solve the pandemic problems that plague the open-source software ecosystem.
You will be paired up with some of the best engineers and researchers in the Silicon Valley. Our team is comprised of engineers and researchers from prestigious schools including MIT, Stanford, Brown and UC Berkeley, with industry-experience from Google, Facebook, Palantir, Uber, Microsoft, Cisco, and the U.S. Department of Defense.
We are looking for talented researchers, Ph.D. candidates, and practitioners to join us to push the boundaries in the following areas:
Program analysis
Compilers
Software security
Software mining
FAQ:
Q: Will I be compensated during my time at r2c?
A: We financially support fellows, providing a monthly stipend for housing, food, and life’s necessities when you’re away from home. We know the San Francisco Bay Area is expensive and we want to make sure you have everything you need to focus on the deep research problems you are passionate about.
Q: How long is the fellowship?
A: Between 1-3 months, depending on the project and scope of work.
Q: What is the selection criteria?
A: We are looking for people who have a clear track record in their area of expertise who can collaborate effectively with our team. Our mission is to provide actionable insights to developers, hackers, and researchers so we'll have a preference for academics who specialize in one of the a
Link:
https://jobs.lever.co/returntocorp/f1ced85d-2771-4142-907f-8cca8899369d
Software Engineer, Infrastructure
r2c
We're a small San Francisco startup passionate about analyzing code and measuring its security. We provide tools to developers, hackers, and researchers that simplify program analysis and make it possible to analyze entire software ecosystems quickly (e.g. every publicly available JavaScript project on GitHub). Security issues are an open source public health problem; with your help we can vaccinate the community against entire classes of exploits. Come join us and give back to the open source community!
You'll be an early infrastructure engineer working with our designers, security researchers, and developers everyday to create a platform that brings together program analysis authors with people who review and fix issues in open source software. Our backend is primarily Python and we use modern web infrastructure (e.g AWS, Docker).
We take an empirical approach to product development, proposing experiments and rigorously validating our ideas. We believe in building each other up and 'yes and...' conversations! You’ll have the opportunity to meet with users and set the direction of the product here.
Responsibilities
Design core, backend software components
Code using primarily typed Python
Conduct design and code reviews
Analyze and improve efficiency, scalability, and stability of various system resources
Minimum Qualifications
BS degree in Computer Science, similar technical field of study, or equivalent practical experience
3+ years of relevant work experience in software development
Professional coding experience in Python, Java, or Go
Experience architecting and developing large scale distributed systems using modern infrastructure (e.g. AWS, Kubernetes, etc.) Experience in concurrency, multithreading and synchronization.
An interest and/or background in security is a plus!
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, mar
Link:
https://jobs.lever.co/returntocorp/81529ea5-7a57-4fc6-9719-d6638b9cfef8
Machine Learning Engineer
JPMorgan
The Machine Learning team at JPMorgan Chase combines cutting edge machine learning techniques with the company’s unique data assets to optimize all the business decisions we make. In this role, you will be part of our world-class machine learning team, and advance the state-of-the-art in financial applications ranging from pricing and credit models to natural language processing. Our work spans the company’s lines of business, with exceptional opportunities in each.
The successful candidate will apply sophisticated machine learning methods to banking applications including risk assessment, trading models, customer relationship management, and pricing models. Machine learning techniques will include feed-forward, recurrent, recursive and convolutional neural networks, maximum entropy models, and other algorithms related to time series analysis and supervised learning.
Link:
https://jpmchase.taleo.net/careersection/2/jobdetail.ftl?job=180073940&lang=en&sns_id=mailto#.W0fBxHflf_A.mailto
Sr. Machine Learning Engineer
JPMorgan
The Machine Learning team at JPMorgan Chase combines cutting edge machine learning techniques with the company’s unique data assets to optimize all the business decisions we make. In this role, you will be part of our world-class machine learning team, and advance the state-of-the-art in financial applications ranging from pricing and credit models to natural language processing. Our work spans the company’s lines of business, with exceptional opportunities in each.
The successful candidate will apply sophisticated machine learning methods to banking applications including risk assessment, trading models, customer relationship management, and pricing models. Machine learning techniques will include feed-forward, recurrent, recursive and convolutional neural networks, maximum entropy models, and other algorithms related to time series analysis and supervised learning.
Link:
https://jpmchase.taleo.net/careersection/2/jobdetail.ftl?job=190020788&lang=en&sns_id=mailto#.W0fBxHflf_A.mailto
Machine Learning Lead
JPMorgan
The Machine Learning Center of Excellence combines cutting edge machine learning techniques with the company’s unique data assets to optimize all the business decisions we make. In this role, you will be part of our world-class machine learning team, and advance the state-of-the-art in financial applications ranging from pricing and credit models to natural language processing. Our work spans the company’s lines of business, with exceptional opportunities in each.
The successful candidate will perform groundbreaking work in machine learning methods, and tailor them to banking applications including risk assessment, trading models, customer relationship management, and pricing models. You will work broadly across the firm’s lines of business to actively identify important business problems and formulate solutions. The machine learning techniques will include feed-forward, recurrent, recursive and convolutional neural networks, as well as maximum entropy models, and other models to be developed. Responsibilities may include recruiting, hiring, and team management.
Link:
https://jpmchase.taleo.net/careersection/2/jobdetail.ftl?job=180122345&lang=en&sns_id=mailto#.W0fBxHflf_A.mailto
AI Research Lead
JPMorgan
JP Morgan has a long history of recruiting and developing quantitative professionals and is a leader in applying AI and Machine Learning tools to support its clients and businesses. The goal of JP Morgan AI Research is to explore and advance cutting-edge research in the fields of AI and Machine Learning, as well as related fields like Cryptography, to develop solutions that are most impactful to JP Morgan’s clients and businesses.
The team is headquartered in New York and present in key hubs around the world. It maintains partnerships with leading academic and research institutions around the world and works with them on areas of mutual interest.
Responsibilities
Research Leads will work with Research Directors and Research Engineers and conduct primary end-to-end research typically within a specialized focus area. They might work on multiple research initiatives and projects both internally at JP Morgan and in collaboration with external researchers such as universities. They are expected to write code, build prototypes and models, run experiments & synthesize results. They will also work with the firm’s engineering & data teams to develop the hardware and data infrastructure for research work.
Link:
https://jpmchase.taleo.net/careersection/2/jobdetail.ftl?job=190023804&lang=en&sns_id=mailto#.W0fBxHflf_A.mailto
Data Scientist, Global Investment Bank
JPMorgan
JPMorgan's Corporate & Investment Bank (CIB) is a global leader across banking, markets and investor services. The world's most important corporations, governments and institutions entrust us with their business; JPMorgan CIB provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.
Overview
We have a great opportunity within our Global Investment Banking Data Analytics Team in New York as a Data Scientist.
The role will provide the successful applicant with the opportunity to shape the future of models and analytics for the #1 Global Investment Banking franchise (IBD, M&A & Corporate Finance).
Responsibilities
Build bespoke models working closely with senior business sponsors e.g. Corporate Finance Advisory, Mergers & Acquisitions
Rethink traditional workflows and existing methods with advanced modelling
Work to build, investigate, test and develop models using traditional and alternative data sources
Engage with Banking on commercial opportunities and deliverables for JP Morgan’s clients
Develop scalable tools leveraging machine learning and deep learning models to solve real-world problems
Link:
https://jpmchase.taleo.net/careersection/2/jobdetail.ftl?job=180114877&lang=en&sns_id=mailto#.W0fBxHflf_A.mailto
Data Science Manager, Global Research
JPMorgan
J.P. Morgan’s Corporate & Investment Bank (CIB) is a global leader across banking, markets and investor services. The world’s most important corporations, governments and institutions entrust us with their business in more than 100 countries.
CIB Research
One of the world’s most highly respected advisory franchises, J.P. Morgan fundamental and quantitative research provides thoughtful fundamental analyses for the world’s largest public and private institutional investors including: asset managers, pension funds, governments, hedge funds, and large corporations. Generating actionable ideas and thematic insights that empower our clients to make well-informed investment and strategic decisions.
Responsibilities
Build and lead a Data Science team to support Global Research for the CIB
Design & implement granular domain-specific indicators from data, relating them to company, industry, and macroeconomic factors
Propose and design investing strategies on economic predictions through multiple investing paradigms
Manage requirements for a set of dependent data products derived from a large portfolio of integrated data feeds
Create data sourcing strategy across multiple industry data verticals supporting our prediction efforts
Generate a series of economic insights research reports relating trends in our indicators & predictions to investment themes
Link:
https://jpmchase.taleo.net/careersection/2/jobdetail.ftl?job=190033620&lang=en&sns_id=mailto#.W0fBxHflf_A.mailto
Machine Learning Engineer
EY
The AI@EY Team is looking for a Machine Learning Engineer with a background in machine learning (ML) and deep learning (DL) technologies to help design and build cutting edge AI solutions.
The AI@EY Team is creating innovative AI technology and products that will transform EY and our clients. The successful candidate will be part of a team building innovative AI solutions that rely on AI and ML techniques including but not limited to natural language processing, computer vision, deep learning, and machine learning.
The AI@EY Team is creating a model for how AI can reinvent large companies, and industries. Through EY’s network of more than 250,000 professionals working in every sector, we have an opportunity to offer AI products and services that transform how business is done in all types of enterprises and to realize the vision of building a better working world.
Your key responsibilities
• Design and implement scalable ML and DL systems, products, and solutions.
• Collaborate with engineering and DevOps teams to build and deliver systems that can be deployed both in the cloud and on premise, e.g., using Azure, Docker, and Kubernetes.
• Build deep learning-based products on CPUs and GPUs, leveraging latest deep learning and machine learning libraries.
Skills and attributes for success
• A self-starter, independent-thinker, curious and creative person with the ambition and passion to change the world using AI.
To qualify for the role you must have
• Bachelors in Computer Science, or other quantitative field.
• 5+ years of wide and deep technology experience at large web scale product companies
• 2+ years working as a backend software engineer in an agile environment with Java, Python, C, C++, or C# or equivalent
• Some experience with modern software development including Cloud, DevOps, NoSql, and CI/CD.
• Understand the fundamentals of deep learning, and machine learning, e.g., over-fitting, IID data.
Link:
https://eygbl.referrals.selectminds.com/jobs/machine-learning-engineer-3-73051
AI Scientist
EY
EY AI Lab is looking for AI Scientists with backgrounds and experience in artificial intelligence (AI), machine learning (ML), deep learning and natural language processing to help building cutting edge AI products and solutions. EY AI Lab is part of EY Global Innovation with the mission of creating innovative AI technology and products that transform the EY business and the industry.
The position is based in Palo Alto, CA, and reports to the AI Science Lead. The AI scientist will be part of a core team of AI scientists who create proof of concepts of algorithms and AI/ML pipelines, build AI models, and work with a team of software engineers and product managers to deliver AI solutions into production-level AI systems.
Essential Functions of the Job:
• Design, experiment and implement various AI and deep learning algorithms to create proof of concepts (PoCs) for AI-based products.
• Define, design and develop product-focused AI solutions leveraging Deep Learning, Natural Language Processing (NLP), Computer Vision and Machine Learning methods and paradigms.
• Work closely with scientists, engineering and product managers and domain experts from various industry to build and incorporate AI-based capabilities into solution and offerings that are deployed across all of EY’s service lines.
• Drive incorporation of developed AI models and pipelines into production AI systems in both on-prem and cloud-based delivery models, by creating robust, scalable and well-engineered AI components.
• Serve as an AI scientist and Subject Matter Professional (SMP), in the face of internal and external stakeholders, and present technical content in technical and professional conferences and internally within EY.
Analytical/Decision Making Responsibilities:
See above
Supervision Responsibilities:
• Works independently and collaborates effectively as part of a team of AI scientists and software engineers.
Knowledge and Skills Requirements:
• Great understanding and knowledge of
Link:
https://ey.jobs/palo-alto-ca/ai-scientist/102e3cb801a74dd8bf96288ac66c16b1/job/
