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883 Jobs

AdRoll

Senior Full Stack Engineer, Ads Library
Full Time · San Francisco · 115K - 190K USD

About AdRoll

AdRoll launched 1 product on Product Hunt

Job description

AdRoll’s Ad Library team is seeking a Senior Full Stack Engineer to craft the interfaces and services used to manage advertisements across our entire suite of products. Do you thrive on creating high-impact applications? The creative assets with which AdRoll clients engage their customers are key to improving the success of their marketing campaigns. The tools you build will set a standard for ads with high-quality visuals, compelling copy, and completeness of data ensuring broad reach across the Internet. Our team welcomes programming language polyglots and entrepreneurial engineers who strive to know how everything works. We are committed to using modern frameworks and technologies. Do you want to build portable React components, high availability Python & Flask web services, and Docker-based infrastructure on Amazon Web Services? Those opportunities are with our team. Responsibilities: • Collaborate with product management to plan features, construct specifications, and estimate effort • Contribute to architectural & development methodologies and mentor other developers to application of those standards • Help drive "greenfield" application development in the areas of dynamic creative optimization, video & native advertisements, and automated ad generation. Qualifications: • BS or MS in computer science or related field, or equivalent experience • Proficiency in Python, Java, Ruby, or equivalent imperative programming language • Professional experience building single page applications on one or more web frameworks, e.g. ES6, React, Redux, Sass Bonus Points: • Development & operations experience on AWS using Simple Storage, Elastic Container, and Relational Database Services. • Phenomenal sense of humor, or emotionless robot. We appreciate extremes. Compensation: • Competitive salary and equity • Medical / Dental / Vision benefits • Paid time off and generous holiday schedule • The opportunity to win the coveted Golden Bagel award About AdRoll: AdRoll is a leading performance marketing platform with over 35,000 clients worldwide. Its suite of high-performance tools works across devices, helping businesses attract, convert, and grow their customer base. The company is home to the world's largest opt-in advertiser data co-op, the IntentMap™ with over 1.2 billion digital profiles. AdRoll’s goal is to build the most powerful marketing platform through performance, usability, and openness. AdRoll is headquartered in San Francisco, with offices in New York, Chicago, Tokyo, London, Dublin, and Sydney. AdRoll is committed to creating diverse teams of “Rollers” and is proud to be an equal opportunity employer. All qualified applicants will receive consideration without regard to race, color, ancestry, sex, religion, gender, gender identity or expression, sexual orientation, marital status, national origin, citizenship, genetics, disability, age, veteran status or other characteristics.

Adaptive Management

Software Engineer
Full Time · New York City · 100K - 140K USD

Job description

Adaptive Management is an emerging leader in data analytics that aims to fundamentally change the way people find, analyze, and acquire predictive datasets. Our cloud-based platform, DataMonster™, leverages alternative data to gain granular and real-time visibility into the fundamentals that drive companies. Our team is comprised of former financial investors, NSA cryptology and applied mathematics experts, and Silicon Valley software veterans. Adaptive Management is headquartered in Manhattan, New York City. Our product team is expanding and seeking top-tier senior engineers. We’re looking for independent thinkers that want to take ownership of parts of the stack and guide the technological decision-making of a young company. We’re facing a variety of hard data processing problems and are looking for people excited about tackling them. Many of these problems are open-ended and the people we hire can select the appropriate tech to address them. In addition, we have a web app implemented in Python / Flask / PostgreSQL / AngularJS which needs to be expanded and maintained. We’re continuously looking to hire mid-level Full Stack, Front End, and Back End Engineers. We are a well-funded startup offering full benefits and competitive compensation. This position will be full-time. We prioritize work/life balance. Front End Engineers Responsibilities - Design, build, maintain, and enhance features on an AngularJS web app - Build HTML/CSS pages based on artist mockups - Work with the UX team to design new features Qualifications - 4-8 years software engineering experience - 2+ years of JavaScript experience - Experience with AngularJS - Experience working with a testing framework, such as Jasmine - Ability to mimic high fidelity mockups in HTML/CSS - Experience in a startup environment a plus Back End Engineers Responsibilities - Design and build the backend for a Flask-based web app - Work with the UX team to design new features - Integrate with an existing data collection platform Qualifications - 4-8 years software engineering experience - 2+ years of Python experience - Experience with relational databases - Experience working with an ORM - Experience working with a testing framework, such as nose/unit test - Experience in a startup environment a plus

Adaptive Management

Junior Software Engineer
Full Time · New York City · 60K - 100K USD

Job description

Adaptive Management is an emerging leader in data analytics that aims to fundamentally change the way people find, analyze, and acquire predictive datasets. Our cloud-based platform, DataMonster™, leverages alternative data to gain granular and real-time visibility into the fundamentals that drive companies. Our team is comprised of former financial investors, NSA cryptology and applied mathematics experts, and Silicon Valley software veterans. Adaptive Management is headquartered in Manhattan, New York City. Our product team is expanding and seeking top-tier senior engineers. We’re looking for independent thinkers that want to take ownership of parts of the stack and guide the technological decision-making of a young company. We’re facing a variety of hard data processing problems and are looking for people excited about tackling them. Many of these problems are open-ended and the people we hire can select the appropriate tech to address them. In addition, we have a web app implemented in Python / Flask / PostgreSQL / AngularJS which needs to be expanded and maintained. We’re continuously looking to hire Junior Full Stack, Front End, and Back End Engineers. We are a well-funded startup offering full benefits and competitive compensation. This position will be full-time. We prioritize work/life balance. Front End Engineers Responsibilities - Design, build, maintain, and enhance features on an AngularJS web app - Build HTML/CSS pages based on artist mockups - Work with the UX team to design new features Qualifications - 0-4 years software engineering experience - JavaScript experience - Experience with AngularJS - Experience working with a testing framework, such as Jasmine - Ability to mimic high fidelity mockups in HTML/CSS - Experience in a startup environment a plus Back End Engineers Responsibilities - Design and build the backend for a Flask-based web app - Work with the UX team to design new features - Integrate with an existing data collection platform Qualifications - 0-4 years software engineering experience - Python experience - Experience with relational databases - Experience working with an ORM - Experience working with a testing framework, such as nose/unit test - Experience in a startup environment a plus

AiFi

Machine Learning Engineer (Computer Vision)
Full Time · Santa Clara · 80K - 150K USD

Job description

Job Description: Researching and developing state-of-the-art Computer Vision algorithms. Responsibility for a complete development cycle: from the early stages of problem analysis and target definitions, through the research stages, algorithm design, implementation, and productization. Qualifications: 3+ years of experience in researching and implementing algorithms in the computer vision field, with a direct focus on 3D / SLAM / Surface Reconstruction. Advanced in Python Real-time algorithms development Independent thinker and open-minded A technical thought leader not only fluent with current deep learning frameworks (Tensor Flow etc.) but also able to create insights Self-motivated and eager to learn new things Education: M.Sc. or Ph.D. in Computer Science, Electrical Engineering, Physics or Mathematics (Ph.D. preferred) Advantages: Experience in-depth analysis, segmentation, and tracking Background in statistics / signal processing Experience working with Computer Vision libraries such as OpenCV is a plus Knowledge of parallel computing, OpenCL, GPGPU is a plus

Modsy

Software Engineer, Order Management
Full Time · San Francisco · 110K - 150K USD

Job description

How do you keep track of thousands of high value, customer orders, each made up of numerous sub-orders to vendors with distinct systems and procedures? How do you optimize the take rate and manage complex billing and fulfillment schedules? How do you deliver up-to-the-minute updates to people who have trusted you with their homes? These are the questions that our Order Management team is focused on solving every day. We operate at all levels of the stack: we’re responsible for the user-facing systems that drive the heart of our business and connect us to our partners. From high-throughput services to operations dashboards to data pipelines to APIs and processor integrations to send payment instructions, we emphasize reliability, testability, quality, and solid engineering design. As a technology-driven, design company, we wholeheartedly believe in bringing together a diverse mix of great, technical and creative people to make something that's truly visionary. If you’re an engineer who appreciates the value of idempotent operations and atomic transactions and doesn’t shy away from architecting accurate, fault-tolerant systems that reflect complex business logic then this is the role for you. Requirements Strong fundamentals in computer science Strong relational database skills, including SQL queries, performance analysis, etc. Strong communication skills Strong Python language skills 2+ years of industry experience in engineering A desire to grow as an engineer through collaboration with a diverse team, code reviews, and learning new languages/technologies Experience that is relevant to us: Experience with large and complex relational databases and schema design Experience with financial, accounting or payments systems Interest in innovations within the global payments industry Rigor in automated testing, code quality, and engineering best practices

AiFi

UI/UX Designer
Full Time · Santa Clara · 80K - 150K USD

Job description

We are seeking a UI/UX designer with a compelling portfolio. Someone who feels confident and comfortable defining and translating his/her aesthetic into innovative technology. Someone who feels excited to solve next-generation design problems beyond existing computing paradigms. Responsibilities -Establish visual creative direction for our products -Collaborate with engineering to refine the user experience -Collaborate with marketing to help maintain consistent brand identity -Translate concepts into wireframes that lead to intuitive user interfaces -Develop behavioral specifications and personas -Drive early-stage usability testing and expert review -Use research-related services, theories and methods to support best-practice recommendations -Effectively communicate ideas, opportunities and detail interactions to team members and business partners Qualifications -3+ years of relevant professional and creative experience -Able to find and solve problems -Interest in technology and curiosity around the future of experience platforms -Team player capable of working well with others and leveraging other people’s skills and strengths to deliver a stellar product -Ability to rapidly generate compelling, relevant graphics, icons and interfaces, and to design in a range of styles -Strong on-screen typographic sensibility -Ability to think and design in 3D environment -Master of Sketch, Adobe Creative Suite and other secret tools -Professional, responsible, flexible and reliable -Ability to combine analytical problem solving with refined graphic design skills

eSpark Learning

Senior Product Designer
Full Time · San Francisco, Chicago · 85K - 110K USD

Job description

Senior Product Designer at eSpark San Francisco or Chicago About eSpark At eSpark, we are building the next generation of tools to help students succeed in school and in life. Using student data and teacher insight, we create a personalized and creative learning experience for each student. It’s life-changing impact: each school year students who learn reading and math through eSpark are measurably more likely to be on track for college and learning the skills to be successful in life. Join our team and be a part of the product development process from the beginning to end. Design at eSpark Success means growth — we want eSpark to reach millions of students and for our students to grow dramatically in ways that set them up for future success. As a Senior Product Designer, you will work closely with the Product Manager, the engineering team, as well as students and teachers to turn user needs, problems and opportunities into well-designed and usable products and features. If you are excited by this challenge, then join us! Expectations As a Senior Product Designer you will be expected to: -Take a large problem space and break it down into a plan for exploration and design to serve the product and user goals. You help the team understand complex problems through user insights and visualized solutions. -Understand or discover the problem/opportunity space through well-structured user research. You can lead the user research process from interview guide to insights. You know many tools to understand user behavior and can pick the right one for the situation at hand. -Explore, build and test a wide range of solutions via rapid prototyping, concept, and usability testing. You know at least one prototyping tool (e.g. Invision, Axure) -well and are excited about the idea of testing many iterations a week. -Recommend the best way forward via flows, experience maps, UI layouts, and usability tests. -Get it to users in a scalable way. You can take in feedback from engineering and learning design teams to create visual assets and patterns/libraries that bring your design to life. -Ability to articulate your design criteria and UX decisions. You can clearly explain the strategy behind your work and why you’ve made certain design decisions. Qualifications -3-8 years of experience designing and shipping web applications and/or mobile apps -Experience with HTML/CSS or interest in learning a plus -Demonstrated ability to work on ambiguous problems in a creative environment. -Provide us examples of design problem solving: concept sketches, interaction flows, prototypes and UI designs for web, mobile and visual UI mastery. If you have real product examples, we’d love to see them! Some perks and benefits of working at eSpark -The opportunity to work with a passionate team of experienced teachers, engineers, designers, and data scientists -Unlimited vacation. We're all adults (kinda). Take time when you need it. -Stocked pantry, coffee & espresso, and your favorite dessert on your birthday! -Progressive insurance and benefit options that are built for both individuals and families, including a significant portion covered by eSpark -Your choice of computers and gadgets -Competitive salary, equity options, and 401(k) plan

One Concern

Senior Data Scientist - Machine Learning
Full Time · Palo Alto · 100K - 180K USD

Job description

What you will do: * Build and improve existing machine learning models * Identify new avenues for machine learning applications in our core product offerings * Work with and support domain experts and data scientists in different hazard products * Demonstrates up-to-date expertise and applies this to the development, execution, and improvement of action plans * Identify key problems in prediction models and propose innovative solutions * Formulate your own problems as the problem might not always be defined for you * Develop custom data models to drive innovative business solutions. EXPERIENCE Need to have: * Ph.D. (preferred) or Master’s degree in Computer Science, Statistics, Engineering or 5+ years experience working in the industry * Advanced experience with Python (preferred), or R, C/C++, Java * Deep understanding of MySQL, Postgres, Redshift, relational databases etc. and experience with AWS technologies * Experience with big data technologies such as hive, hadoop, spark etc. * Experience working on social issues and/or government projects a big plus * Teamwork & collaboration skills

One Concern

Quantitative Researcher - Wind
Full Time · Palo Alto · 100K - 180K USD

Job description

What you will do: * Research and improve windstorm forecast models and seek for scientific and technological improvements * Evaluate model predictions and quantify uncertainties between observed and predicted outcomes using statistical and GIS tools * Collect, analyze and efficiently manage a wide variety of structured and unstructured data (such as building characteristics, damage and loss data) used in the development and validation of catastrophe models * Provide support on ad-hoc analysis and reports EXPERIENCE Need to have: * Ph.D. (preferred) or Master’s degree in an engineering or science related field, including Civil and Environmental Engineering, Structural Engineering, Data Science, and Statistics * Solid background with 3+ years of wind engineering * Experience in hurricane, storm surge or tsunami modeling Good to have: * Experience linking measurement data with process-based models (e.g. via data assimilation, calibration, optimization and/or performance testing) with a strong publication record is a big plus * Advanced experience with scientific computing in an interpreted language (e.g. Python, Fortran etc. and parallel programming in GPU) is a plus * Understanding of MySQL, Postgres, Redshift, relational databases etc.

One Concern

Principal Data Scientist - Machine Learning
Full Time · Palo Alto · 100K - 180K USD

Job description

What you will do: * Envision new avenues for machine learning applications in our core product offerings * Train and mentor data scientists across different teams and hazards * Work with and support domain experts and data scientists in different hazard products * Stay updated on state-of-the-art developments in the artificial intelligence industry * Develop custom machine learning models to drive innovative business solutions * Identify areas of improvement and propose creative solutions to product challenges EXPERIENCE Need to have: * Ph.D. in Computer Science, Statistics, Engineering or 7+ years experience working in the industry * Advanced experience with Python (preferred), or R, C/C++, Java * Deep understanding of MySQL, Postgres, Redshift, relational databases etc. and experience with AWS technologies * Experience with big data technologies such as hive, hadoop, spark etc. * Experience working on social issues and/or government projects a big plus * Teamwork & collaboration skills

One Concern

Operations Research Scientist
Full Time · Palo Alto · 100K - 180K USD

Job description

What you will do: * Analyze operational strategies that optimize resources and costs * Evaluate different strategies for different scenarios and quantify relevant metrics * Suggest operational improvements as identified by your research * Help clients make educated decisions at the time of crisis * Collaborate with product team and suggest product improvements based on findings * Communicate research to engineering, sales and customer success teams EXPERIENCE Need to have * Ph.D. (preferred) or MS in Operations Research, Statistics, Applied Mathematics, Computer Science or a related field * 3+ years experience in operations research industry * Experience designing and implementing optimization models in for resource, networks and other characteristics of operations (e.g., staff scheduling, vehicle routing, and facility location) * Good communication skills with both technical and business people. Ability to speak at a level appropriate for the audience. * The ability to implement models and tools through the use of high-level modeling languages * Experience prototyping and developing software in traditional programming languages (Python, C++) Good to have * Ph.D. in Operations Research, Applied Mathematics, Theoretical Computer Science, or related Engineering Field * At least 7 years work experience * Professional experience in both academic and industrial settings * Experience applying forecasting and data mining techniques in an industrial setting * Demonstrated experience designing/building forecasting systems and business metrics. * Familiarity with SQL and experience with very large-scale data. The ability to manipulate data by writing scripts (Perl, Ruby, Groovy). * Deep understanding of MIP numerical programming techniques to leverage commercial algorithms and adapt them as required

One Concern

Geospatial Data Engineer
Full Time · Palo Alto · 100K - 180K USD

Job description

What you will do: * Analyze performance, accuracy, and utility of Earth Observation data, components, and approaches in both time and space. * Be on the constant lookout for relevant datasets that will improve our products Develop and document acquisition plans, financial metrics, and goals for management * Lead licensing negotiations related to content, including selection, financial analysis, forecasting, and technical requirements * Support and manage relationships with content providers * Streamline data acquisition and merging of our data and machine learning pipelines * Investigate existing data exploitation methods and automation techniques (e.g., machine learning, spatiotemporal statistics) EXPERIENCE Must-Haves * MS in Geographical Information Systems, Remote Sensing, and other disciplines with strong analytical skills * 3+ years of experience writing software to manipulate earth observation data, remote sensing data, and other geospatial data * Expert knowledge of GDAL and open-source GIS tools * Experience writing production code in Python * Professional and technical communication skills such as writing technical documentation, writing status reports, writing algorithm description documents, authoring presentation charts, and presenting to an audience Good-to-Have * MS or BS in GIS, Computer Science or related engineering fields * Experience working with machine learning pipelines * Working knowledge of programming languages like R * Domain knowledge of industry

One Concern

Deep Learning Scientist
Full Time · Palo Alto · 100K - 180K USD

Job description

What you will do: * Build and improve existing deep learning models * Work with domain experts and machine learning scientists in different hazard products * Demonstrates up-to-date machine learning skills and applies this to the development, execution, and improvement of action plans * Identify key problems in prediction models and propose innovative solutions * Formulate your own problems as the problem might not always be defined for you * Work with cross-functional partners across the business EXPERIENCE Must-haves: * A strong drive to solve challenging problems in uncharted territory, think out of box, meet deadlines, and build whatever is necessary along the way * Ph.D in computer science, machine learning, statistics, or a related quantitative discipline * At least 2+ years of industry, postdoctoral, or academic research experience building, training, and validating deep learning models (recurrent neural networks, convolutional neural networks) * Strong Experience using one of TensorFlow, Caffe, Theano or other open source frameworks. * Deep understanding of underlying concepts of TensorFlow, as an example, to understand/enhance the inner workings of an artificial intelligence framework of choice * Expert programming skills in Python

One Concern

Data Scientist - Wind
Full Time · Palo Alto · 100K - 180K USD

Job description

What you will do: * Develop and improve machine learning models for windstorm forecast and seek for scientific and technological improvements * Evaluate model predictions and quantify uncertainties between observed and predicted outcomes using statistical and GIS tools * Collect, analyze and efficiently manage a wide variety of structured and unstructured data (such as building characteristics, damage and loss data) used in the development and validation of catastrophe models * Collaborate with an interdisciplinary team of software engineers and data scientists on cross-functional projects, interpreting data, and translating into actionable insights * Provide support on ad-hoc analysis and reports EXPERIENCE Need to have: * Ph.D. (preferred) or Master’s degree in an engineering or science related field, including Civil and Environmental Engineering, Structural Engineering, Data Science, and Statistics. * Solid background with 2+ years of wind engineering * 1+ year experience in machine learning, statistics, and quantitative analytics * Strong drive to learn new topics and skills and to develop innovative products for our customers. Good to have: * Experience linking measurement data with process-based models (e.g. via data assimilation, calibration, optimization and/or performance testing) with a strong publication record is a big plus * Advanced experience with scientific computing in an interpreted language (e.g. Python, Fortran etc. and parallel programming in GPU) is a plus * Experience in hurricane, storm surge or tsunami modeling * Understanding of MySQL, Postgres, Redshift, relational databases etc.

One Concern

Data Scientist - Wildfires
Full Time · Palo Alto · 100K - 180K USD

Job description

* Develop and improve machine learning model in wildfire spread modeling, monitoring, and forecast. * Evaluate model predictions and quantify uncertainties between observed and predicted outcomes using statistical and GIS tools * Collaborate with an interdisciplinary team of software engineers and data scientists on cross-functional projects, interpreting data, and translating into actionable insights * Provide support on ad-hoc analysis and reports EXPERIENCE Need to have: *Ph.D. (preferred) or Master’s degree in Atmospheric Science, Forest Science, Wildfire modeling, or related field * Solid background with 2+ years of modeling fire spread and impact through model development, code development * 1+ year experience in machine learning, statistics, and quantitative analytics * Proficiency in programming languages (Python, C/C++, Fortran and/or others) and visualization tools * Strong drive to learn new topics and skills and to develop innovative products for our customers. Good to have: * Experience linking measurement data with process-based models (e.g. via data assimilation, calibration, optimization and/or performance testing) * Strong publication record is a big plus * Understanding of MySQL, Postgres, Redshift, relational databases etc * Experience with end-to-end product pipelines

One Concern

Data Scientist - Storm Surge
Full Time · Palo Alto · 100K - 180K USD

Job description

* Develop and improve machine learning models for operational real-time surge forecast and seek for scientific and technological improvements * Evaluate model predictions and quantify uncertainties between observed and predicted outcomes in the aftermath of actual surges using statistical and GIS tools * Collect, analyze and efficiently manage a wide variety of structured and unstructured data (such as building characteristics, damage and loss data) used in the development and validation of catastrophe models * Collaborate with an interdisciplinary team of software engineers and data scientists on cross-functional projects, interpreting data, and translating into actionable insights * Provide support on ad-hoc analysis and reports EXPERIENCE Need to have: * PhD (preferred) in Civil Engineering, Ocean Engineering or a related field * 2+ years of experience in the area of storm surge modeling and impact modeling * 1+ year experience in machine learning, statistics, and quantitative analytics * Strong drive to learn new topics and skills and to develop innovative products for our customers. Good to have: * Experience linking measurement data with process-based models (e.g. via data assimilation, calibration, optimization and/or performance testing) with a strong publication record is a big plus * Advanced experience with scientific computing in an interpreted language (e.g. Python, Fortran etc. and parallel programming in GPU) is a plus * Experience in hurricane, storm surge or tsunami modeling * Understanding of MySQL, Postgres, Redshift, relational databases etc.

One Concern

Data Scientist - Machine Learning
Full Time · Palo Alto · 100K - 180K USD

Job description

We are looking for creative data scientists that have built machine learning pipelines from inception to maintenance. You should have experience with collecting and cleaning data, feature engineering, building scalable machine learning algorithms and constantly improving them over time. What you will do: * Build and improve existing machine learning models * Work with and support domain experts and data scientists in different hazard products * Demonstrates up-to-date machine learning skills and applies this to the development, execution, and improvement of action plans * Assess the potential usefulness and validity of new statistical approaches and data sources. * Identify key problems in prediction models and propose innovative solutions * Formulate your own problems as the problem might not always be defined for you * Work with cross-functional partners across the business EXPERIENCE Need to have: * Ph.D. (preferred) or Master’s degree in Computer Science, Statistics, Mathematics, Science, Electrical Engineering or related field * At least 2+ years experience in the industry * Strong background in machine learning, statistics, and quantitative analytics * Advanced experience with Python (preferred), or R, C/C++, Java * Deep understanding of MySQL, Postgres, Redshift, relational databases etc. * Experience with AWS and big data technologies such as hive, hadoop, spark etc. * Experience working on social issues and/or government projects a big plus

One Concern

Data Scientist - Hazards
Full Time · Palo Alto · 100K - 180K USD

Job description

* Develop and improve machine learning techniques for hazards including but not limited to hurricane, tornadoes, earthquakes, wildfires, floods, chemical, biological. * Identify new useful data sources, envisioning creative applications of machine learning to these products * Evaluate model predictions and quantify uncertainties between observed and predicted outcomes using statistical and GIS tools * Collaborate with an interdisciplinary team of software engineers and data scientists on cross-functional projects, interpreting data, and translating into actionable insights * Provide support on ad-hoc analysis and reports EXPERIENCE Need to have: * PhD (preferred) or Master’s degree in an engineering field related to any of the above-mentioned hazards * 2+ year experience in machine learning, statistics, and quantitative analytics * Proficiency in programming languages (Python, C/C++, Fortran and/or others) and visualization tools * Strong drive to learn new topics and skills and to develop innovative products for our customers. Good to have: * Professional Certification in related engineering field * Experience linking measurement data with process-based models (e.g. via data assimilation, calibration, optimization and/or performance testing) * Strong publication record is a big plus * Understanding of MySQL, Postgres, Redshift, relational databases etc * Experience with end-to-end product pipelines

One Concern

Data Scientist - Floods
Full Time · Palo Alto · 100K - 180K USD

Job description

* Develop and improve machine learning models for flood forecast and seek for scientific and technological improvements * Evaluate model predictions and quantify uncertainties between observed and predicted outcomes using statistical and GIS tools * Collaborate with an interdisciplinary team of software engineers and data scientists on cross-functional projects, interpreting data, and translating into actionable insights * Provide support on ad-hoc analysis and reports EXPERIENCE Need to have: * PhD (preferred) or Master’s degree in Civil Engineering, Hydrology, Hydraulics, Hydrometeorology, Water Resources, or related field * Solid background with 2+ years of river hydraulics, computational hydrodynamics and numerical modeling (e.g. numerically solving PDEs) * 1+ year experience in machine learning, statistics, and quantitative analytics * Advanced experience with scientific computing in an interpreted language, e.g. Python, Fortran etc. and parallel programming in GPU * Strong drive to learn new topics and skills and to develop innovative products for our customers. Good to have: * Experience linking measurement data with process-based models (e.g. via data assimilation, calibration, optimization and/or performance testing) with a strong publication record is a big plus * Broad knowledge of hydrological measurement techniques including field, laboratory, and remote-sensing based approaches * Experience in coastal circulation, storm surge or tsunami modeling * Understanding of MySQL, Postgres, Redshift, relational databases etc.

One Concern

Data Scientist - Earthquakes
Full Time · Palo Alto · 100K - 180K USD

Job description

* Develop and improve machine learning techniques tuned for earthquake modeling * Identify new useful data sources, envisioning creative applications of machine learning to our earthquake module * Build models to improve damage prediction of structures due to earthquakes * Evaluate model predictions and quantify uncertainties between observed and predicted outcomes using statistical and GIS tools * Collaborate with an interdisciplinary team of software engineers and data scientists on cross-functional projects, interpreting data, and translating into actionable insights * Provide support on ad-hoc analysis and reports EXPERIENCE Need to have: * PhD (preferred) or Master’s degree in Structural Engineering, Geophysics, Civil Engineering, or related field * 2+ year experience in machine learning, statistics, and quantitative analytics; Proficiency in programming languages (Python, C/C++, Fortran and/or others) and visualization tools * Strong drive to learn new topics and skills and to develop innovative products for our customers. Good to have: * Professional Certification in related engineering field * Experience linking measurement data with process-based models (e.g. via data assimilation, calibration, optimization and/or performance testing) * Strong publication record is a big plus * Understanding of MySQL, Postgres, Redshift, relational databases etc * Experience with end-to-end product pipelines
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