SigOpt provides an enterprise, hosted service for model development and black box optimization. We're looking for brilliant and enthusiastic researchers to learn, grow, and build with us!
Research at SigOpt
SigOpt is a service that helps customers efficiently develop effective models in an efficient and data-secure fashion. As customers report the relationship between our recommended model designs and the associated performance, we implement algorithms internally to interpret this relationship and suggest new model designs that may reach higher performance. Our algorithms must be able to perform under various customer circumstances and computational restrictions, and they must yield robust performance for our customers to trust their model development to SigOpt.
Project Ownership: Research engineers are entrusted to own much of the development process for many of our most important and differentiating features. These critical elements of our product require the passion and rigor which defines a research mentality, and research engineers are expected to design and execute (in conjunction with other engineers) the strategies for designing and executing these key projects.
Working at the Cutting Edge: The tools that we provide for our customers must be based on the latest research developments from throughout the mathematics, statistics and machine learning communities. We invest time in reading articles and participating in conferences to know the current state of the community so that we can bring the best tools to bear on our customer’s problems. Research engineers have the important job of developing and/or adapting these strategies to fit in the constraints of an enterprise SaaS black-box solution.
Teamwork: Everyone on the research team has their own expertise and perspective on the research community: statistics, mathematics, operations research and machine learning all contribute to the core of our product. We want all researcher engineers to be both humble teachers and active learners to build the best and most comprehensive team possible. The research team also regularly hosts interns, and interested team members have the opportunity to mentor the next generation of researchers.
Communicating to the World: One of the key ways the research team contributes at SigOpt is by being effective communicators. This can be by documenting our work internally, developing feature/product documentation which speaks to advanced users, developing educational material to bolster SigOpt’s conference presence, writing blog content to present ideas/methodologies to the broad community, or writing articles for conferences/workshops to the research community. We also regularly collaborate with external partners on projects ranging from materials science to artwork.
User Engagement: An important part of SigOpt’s effectiveness lies in understanding our customer’s needs and values. Research engineers are encouraged to spend time with the customer success team during customer meetings to better empathize with customer goals and devise better strategies for serving their needs. This opportunity is unique to life at a small company, and, when successfully executed, this can be the most important element of product discovery/development.
Help shape a new machine learning solution category.
Built by experts for experts, SigOpt’s Optimization Solution is fundamentally changing the way models are tuned and revolutionizing the way people build and optimize Machine Learning (ML) models. With our solution customers are building better ML models faster, achieving unprecedented performance across business metrics, and realizing significant gains.
As a Product Manager you will be part of the larger product organization at SigOpt, working closely with senior executives to develop business targets and resource requirements, influencing our long-term technical and business strategy. You will be responsible for understanding customer needs and delivering strategic technical solutions while driving revenue growth and competitive differentiation.
With your passion for AI/ML technology, strong business acumen and judgment, and ability to define visionary products, you will help us hire a talented team of PMs and ultimately enabling us to deliver innovative solutions rapidly. So what are you waiting for? Come Join the ML revolution!
Responsibilities
Lead Product Definition – Own and drive customer needs definition, problem discovery, and solution validation.
Execute Product Planning and Development – Accelerate time to impact on new technologies through experimentation, prototyping, and strong execution.
Lead Product Launch – Own product launch planning, positioning and identify and track key success metrics for your products.
Collaborate across the broader engineering, marketing, sales, customer success, and research teams to define and launch new products.
Be Competitor savvy - Have a clear pulse on innovations across the broader AI community and investigate competitive threats and define what differentiates your
Be Customer centric - Effectively and proactively communicate with customers and build a trusted advisor relationship.
Be an excellent Communicator - Communicate product vision, strategy, goals and progress. Be a spokesperson in conferences, customer and analysts briefings.
Requirements
- Experienced (3 to 5+ years) in product management, product design, data science or engineering with a Bachelor's degree in Computer Science, Information Systems, Data science, Product design or equivalent
- Excellent written and verbal communications skills on technical topics
- Proven analytical and quantitative skills
- Experience working with customers, technical teams, and management to collect requirements, describe software product features, and technical designs
- Passion for AI / ML technologies and familiarity with the space
Pluses
- Experience in data collection, model building, testing and validation
- Experience with or knowledge of modern machine learning libraries, frameworks, and techniques (e.g., TensorFlow, PyTorch, Deep Learning, Transfer Learning, Keras, NLP, feature engineering, automated hyperparameter tuning, and conventional machine learning techniques)
Software Engineer Frontend - SigOpt, Full-time. San Francisco, CA. Onsite
SigOpt is hiring our first frontend engineer!
SigOpt builds a cloud-based ensemble of optimization tools that integrates seamlessly into existing infrastructure. Our web app delivers value to our customers as an integral part of their machine learning workflow. We strive to anticipate our users’ needs, building web features that they wouldn't think to ask for from an optimization service. Users who used to manage their optimization experiments in jupyter notebooks, text files, or excel spreadsheets are now consistently delighted by the features offered on our web interface, from experiment management to state of the art visualizations.
We expect you to empathize with our user, and use a mix of user feedback, industry trends, and common sense to scope and prioritize projects. You will work with us to answer larger questions such as "How can the SigOpt frontend better fit into the optimization workflow?"
As an early frontend engineer at SigOpt, you will have large control over our frontend architecture and codebase. Our frontend stack is built on top of modern web frameworks like React, ES6 and LESS, with node on the backend of our web servers.
Responsibilities
- Work with customer success and product to design, prototype, build, and test new features on our frontend
- Champion usability and clean design across the web app
- Review architectural improvements to our web infrastructure
- Work with your peer engineers to set and maintain a high level of code craftsmanship in our frontend codebase
Requirements
- Minimum 5 years industry experience
- Experience with a wide variety of languages and tools
- Comfortable working with Javascript
- Grasp of CSS or extensions such as SASS or LESS
Pluses
- React/ES6 experience
- Experience writing and maintaining browser tests
- Experience with UX / UI / visual design fundamentals
- Interest in machine learning
- Strong oral and written communication
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, marital status, veteran status, or disability status.
SigOpt | San Francisco, CA.
Machine Learning Evangelist: Full time, Onsite
Be the public face of machine learning optimization.
Built by data scientists for data scientists, SigOpt’s Optimization Platform is fundamentally changing the way models are tuned. For machine learning models in particular, this represents an opportunity to make optimization better, cheaper, and faster.
But machine learning is noisy, so we need a Machine Learning Evangelist to be our signal. As the public face of optimization, you will be the advocate for data scientists who deserve a better way to tune and an expert ambassador to constituencies that stretch across industry and academia. With an optimization first and SigOpt second attitude, your efforts will spread the tuning gospel and build a community of users that push the envelope on its potential.
Responsibilities: -Nurture a machine learning community by producing and presenting technical content, whether in the form of blog posts, whitepapers, trainings, videos, or otherwise -Enable leading machine learning partners to tell the optimization story, and collaborate with them at live events, conferences, and in online forums -Earn speaking roles at conferences, meetups, and other live events to build momentum for optimization and its technical potential -Engage machine learning and artificial intelligence oriented communities early and often to build relationships, familiarity, and support for optimization as a critical part of AI/ML
You are: -A quick study, who builds on 2-5 years of technical machine learning experience to translate complex subjects into concise explanations -A student of AI/ML who has a technical degree and a proficiency in computer science, machine learning, and the technology stack that enables it -As comfortable speaking in front of a room of a hundred as penning a blog that nails a critical point. -Driven to start and build something -Frequently caught reading and engaging too much in AI/ML banter
SigOpt | San Francisco, CA.
Software Engineer: Full time, Onsite. Small team working on everything from machine learning to javascript.
SigOpt is building a cloud-based ensemble of optimization tools that is proven and integrates seamlessly into existing infrastructure. We're used by globally recognized leaders within the insurance, credit card, algorithmic trading and consumer packaged goods industries.
We're looking for generalists who feel comfortable working on everything from machine learning pipelines to javascript to join our small but growing team. Our stack is built on tested and popular tools like postgres, python, AWS, node, react. We prefer versatile developers over experts in a single field.
Responsibilities: -Work with customer success and the research engineers to design, build and ship new features in the API -Design, build and continue to improve the SigOpt web experience, from account administration to cutting edge visualizations -Champion usability and clean design across the website and API, maintaining the high bar that our customers continue to give us positive feedback on -Showcase SigOpt in code examples from our public GitHub repo, documentation and how-to articles on the website, and occasionally blog posts
Requirements: -Minimum 1 year industry experience in a software engineering role -Experience in a wide variety of languages and tools
Pluses: -React/ES6 experience -API design experience -Experience writing and maintaining test suites including unit, integration and browser tests -Machine learning experience -Strong oral and written communication skills
Be the public face of machine learning optimization.
Built by data scientists for data scientists, SigOpt’s Optimization Platform is fundamentally changing the way models are tuned. For machine learning models in particular, this represents an opportunity to make optimization better, cheaper, and faster.
But machine learning is noisy, so we need a Machine Learning Evangelist to be our signal. As the public face of optimization, you will be the advocate for data scientists who deserve a better way to tune and an expert ambassador to constituencies that stretch across industry and academia. With an optimization first and SigOpt second attitude, your efforts will spread the tuning gospel and build a community of users that push the envelope on its potential.
Responsibilities: -Nurture a machine learning community by producing and presenting technical content, whether in the form of blog posts, whitepapers, trainings, videos, or otherwise -Enable leading machine learning partners to tell the optimization story, and collaborate with them at live events, conferences, and in online forums -Earn speaking roles at conferences, meetups, and other live events to build momentum for optimization and its technical potential -Engage machine learning and artificial intelligence oriented communities early and often to build relationships, familiarity, and support for optimization as a critical part of AI/ML
You are: -A quick study, who builds on 2-5 years of technical machine learning experience to translate complex subjects into concise explanations -A student of AI/ML who has a technical degree and a proficiency in computer science, machine learning, and the technology stack that enables it -As comfortable speaking in front of a room of a hundred as penning a blog that nails a critical point. -Driven to start and build something -Frequently caught reading and engaging too much in AI/ML banter
Software Engineer: Full time, Onsite. Small team working on everything from machine learning to javascript.
SigOpt is building a cloud-based ensemble of optimization tools that is proven and integrates seamlessly into existing infrastructure. We're used by globally recognized leaders within the insurance, credit card, algorithmic trading and consumer packaged goods industries.
We're looking for generalists who feel comfortable working on everything from machine learning pipelines to javascript to join our small but growing team. Our stack is built on tested and popular tools like postgres, python, AWS, node, react. We prefer versatile developers over experts in a single field.
Responsibilities: -Work with customer success and the research engineers to design, build and ship new features in the API -Design, build and continue to improve the SigOpt web experience, from account administration to cutting edge visualizations -Champion usability and clean design across the website and API, maintaining the high bar that our customers continue to give us positive feedback on -Showcase SigOpt in code examples from our public GitHub repo, documentation and how-to articles on the website, and occasionally blog posts
Requirements: -Minimum 1 year industry experience in a software engineering role -Experience in a wide variety of languages and tools
Pluses: -React/ES6 experience -API design experience -Experience writing and maintaining test suites including unit, integration and browser tests -Machine learning experience -Strong oral and written communication skills
SigOpt | San Francisco, CA.
Developer Evangelist: Full time, Onsite.
SigOpt is looking to hire our first developer evangelist. You’ll be the public face of SigOpt by writing blogs, giving talks, and bringing Bayesian optimization to the world. You’ll make blogs, examples, videos and more that developers around the world will see and use in both academia and industry.
Responsibilities: -Rapid prototyping and production of new SigOpt integrations with popular machine learning libraries and data science tools (examples in our gallery and github) -Write technical blog posts on the SigOpt blog and with our partners (AWS, NVIDIA, Intel examples) -Give technical talks about SigOpt and use cases at machine learning conferences, meetups, and corporate campuses (job may require up to 25% of time traveling) -Help support SigOpt exhibitor teams at conferences
Requirements: -Strong written and oral communication skills -College or graduate degree in a technical field -Minimum 1 year experience as a software engineer or data scientist
Pluses: -Open source experience -Content marketing experience -Experience with a variety of machine learning and data science tools
Software Engineer: Full time, Onsite. Small team working on everything from machine learning to javascript.
SigOpt is building a cloud-based ensemble of optimization tools that is proven and integrates seamlessly into existing infrastructure. We're used by globally recognized leaders within the insurance, credit card, algorithmic trading and consumer packaged goods industries.
We're looking for generalists who feel comfortable working on everything from machine learning pipelines to javascript to join our small but growing team. Our stack is built on tested and popular tools like postgres, python, AWS, node, react. We prefer versatile developers over experts in a single field.
Responsibilities: -Work with customer success and the research engineers to design, build and ship new features in the API -Design, build and continue to improve the SigOpt web experience, from account administration to cutting edge visualizations -Champion usability and clean design across the website and API, maintaining the high bar that our customers continue to give us positive feedback on -Showcase SigOpt in code examples from our public GitHub repo, documentation and how-to articles on the website, and occasionally blog posts
Requirements: -Minimum 1 year industry experience in a software engineering role -Experience in a wide variety of languages and tools
Pluses: -React/ES6 experience -API design experience -Experience writing and maintaining test suites including unit, integration and browser tests -Machine learning experience -Strong oral and written communication skills
Software Engineer: Full time, Onsite. Small team working on everything from machine learning to javascript.
SigOpt is building a cloud-based ensemble of optimization tools that is proven and integrates seamlessly into existing infrastructure. We're used by globally recognized leaders within the insurance, credit card, algorithmic trading and consumer packaged goods industries.
We're looking for generalists who feel comfortable working on everything from machine learning pipelines to javascript to join our small but growing team. Our stack is built on tested and popular tools like postgres, python, AWS, node, react. We prefer versatile developers over experts in a single field.
Responsibilities: -Work with customer success and the research engineers to design, build and ship new features in the API -Design, build and continue to improve the SigOpt web experience, from account administration to cutting edge visualizations -Champion usability and clean design across the website and API, maintaining the high bar that our customers continue to give us positive feedback on -Showcase SigOpt in code examples from our public GitHub repo, documentation and how-to articles on the website, and occasionally blog posts
Requirements: -Minimum 1 year industry experience in a software engineering role -Experience in a wide variety of languages and tools
Pluses: -React/ES6 experience -API design experience -Experience writing and maintaining test suites including unit, integration and browser tests -Machine learning experience -Strong oral and written communication skills
https://jobs.lever.co/sigopt/bdff1bd1-ed90-468b-a1b2-020c803...
SigOpt provides an enterprise, hosted service for model development and black box optimization. We're looking for brilliant and enthusiastic researchers to learn, grow, and build with us!
Research at SigOpt
SigOpt is a service that helps customers efficiently develop effective models in an efficient and data-secure fashion. As customers report the relationship between our recommended model designs and the associated performance, we implement algorithms internally to interpret this relationship and suggest new model designs that may reach higher performance. Our algorithms must be able to perform under various customer circumstances and computational restrictions, and they must yield robust performance for our customers to trust their model development to SigOpt.
Project Ownership: Research engineers are entrusted to own much of the development process for many of our most important and differentiating features. These critical elements of our product require the passion and rigor which defines a research mentality, and research engineers are expected to design and execute (in conjunction with other engineers) the strategies for designing and executing these key projects.
Working at the Cutting Edge: The tools that we provide for our customers must be based on the latest research developments from throughout the mathematics, statistics and machine learning communities. We invest time in reading articles and participating in conferences to know the current state of the community so that we can bring the best tools to bear on our customer’s problems. Research engineers have the important job of developing and/or adapting these strategies to fit in the constraints of an enterprise SaaS black-box solution.
Teamwork: Everyone on the research team has their own expertise and perspective on the research community: statistics, mathematics, operations research and machine learning all contribute to the core of our product. We want all researcher engineers to be both humble teachers and active learners to build the best and most comprehensive team possible. The research team also regularly hosts interns, and interested team members have the opportunity to mentor the next generation of researchers.
Communicating to the World: One of the key ways the research team contributes at SigOpt is by being effective communicators. This can be by documenting our work internally, developing feature/product documentation which speaks to advanced users, developing educational material to bolster SigOpt’s conference presence, writing blog content to present ideas/methodologies to the broad community, or writing articles for conferences/workshops to the research community. We also regularly collaborate with external partners on projects ranging from materials science to artwork.
User Engagement: An important part of SigOpt’s effectiveness lies in understanding our customer’s needs and values. Research engineers are encouraged to spend time with the customer success team during customer meetings to better empathize with customer goals and devise better strategies for serving their needs. This opportunity is unique to life at a small company, and, when successfully executed, this can be the most important element of product discovery/development.