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Cortex is an open-source platform for building, deploying, and managing machine learning applications in production. We believe that machine learning should be a core competency of every engineering organization. Our goal is to help engineering teams build better machine learning systems, faster.
We are a VC-backed startup founded by infrastructure engineers with backgrounds from Google, Illumio, and the Berkeley ASPIRE Lab. We are looking for thoughtful and ambitious engineers to join our founding team.
Responsibilities:
Qualifications:
Seldon is looking for a Software Engineer to join our team. We are focused on making it easy for machine learning models to be deployed and managed at scale in production. We provide Cloud Native products that run on top of Kubernetes and are open-core with several successful open source projects including Seldon Core, Alibi:Explain and Alibi:Detect. We also contribute to open source projects under the Kubeflow umbrella including KFServing.
About the role Design and build scalable machine learning solutions on top of the open source and enterprise Seldon products. Working on bring the Explainable AI and ML Monitoring available in the Alibi projects into the enterprise products for general use.
Essential skills A degree or higher level academic background in a scientific or engineering subject. Familiarity with linux based development. At least 2 years of experience in industry or academia showing completed projects.
Core skills (The role will be focused on these skills so we would expect existing experience or a demonstrable desire to learn these) Experience with GoLang and Python Experience with Kubernetes and the ecosystem of Cloud Native tools. Experience using machine learning tools in production. Bonus skills (Any of these will be of great interest to us) A broad understanding of data science and machine learning. Understanding of explainable AI or machine learning monitoring in production Familiarity with Kubeflow, MLFlow or Sagemaker Familiarity with python tools for data science
About our tech stack Some of our high profile technical projects: We are core authors and maintainers of Seldon Core, the most popular Open Source model serving solution in the Cloud Native (Kubernetes) ecosystem We built and maintain the black box model explainability tool Alibi We are co-founders of the KFServing project, and collaborate with Microsoft, Google, IBM, etc on extending the project We are core contributors of the Kubeflow project and meet on several workstreams with Google, Microsoft, RedHat, etc on a weekly basis We are part of the SIG-MLOps Kubernetes open source working group, where we contribute through examples and prototypes around ML serving We run the largest Tensorflow meetup in London And much more 🚀
Some of the technologies we use in our day-to-day: Go is our primary language for all-things backend infrastructure including our Kubernetes Operator, and our new GoLang Microservice Orchestrator) Python is our primary language for machine learning, and powers our most popular Seldon Core Microservices wrapper, as well as our Explainability Toolbox Alibi We leverage the Elastic Stack to provide full data provenance on inputs and outputs for thousands of models in production clusters Metrics from our models collected using Prometheus, with custom Grafana integrations for visualisation and monitoring Our primary service mesh backend leverages the Envoy Proxy, fully integrated with Istio, but also with an option for Ambassador We leverage gRPC protobufs to standardise our schemas and reach unprecedented processing speeds through complex inference graphs We use React.js for our all our enterprise user products and interfaces Kubernetes and Docker to schedule and run all of our core cloud native technology stack
Benefits Share options to align you with the long-term success of the company. Exciting phase of fast-paced start-up challenges with an ambitious team and unlimited potential for professional growth. Access to discounted lunches, gyms, shopping and cinema tickets. Healthcare benefits. Cycle To Work Scheme.
Logistics Our interview process is normally a phone interview, a coding task, and 2-3 hours of final interview (carried out virtually). We promise not to ask you any brain teasers or trick questions. We might design a system together on a whiteboard, the same way we often work together, but we won’t make you write code on one. Our recruitment process has an average length of 3 weeks.
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How would you steam live audio traffic across multiple services into a machine learning model? What is the memory consumption of a service streaming data with maximum network utilization? How would you handle images send to a GraphQL endpoint?
At Corti, we have proven a life saving technology that augments emergency medical dispatchers with machine learning. We envision a near future where all emergency dispatchers around the globe are augmented by our intelligence. We are proud to say that the engineers at Corti are saving lives. A life saving engineer is dedicated, seeks for real purpose and is proud to the extent of obsession. We don't need the ninjas and wizards, we need people who own every aspect of their work at any time.
To get there, we need to solve problems that go way beyond picking the right text editor. The engineering team at Corti owns the entire stack, from live audio capture, real time traffic processing and classification using machine learning models to the hardware on the dispatcher desk, the servers in the basement and the right cloud strategy.
We pick our team members carefully so we can maintain our culture of excellence. We look for complementing skills and characters and care less about your degree, certifications and experience. You can't hide behind your screen as we are a team that believes in collaboration across all the departments at Corti.
You can solve problems and you can proof it to us. You are better at estimating memory usage than remembering the exact implementation of quicksort. A new problem stimulates your creativity rather than your hippocampus. Working cross domain is a bonus for you and you are eager to widen your horizon.
While we have a core set of tools, programming languages and concepts we work with, we will definitely going to ask you to learn something new. Never worked with machine learning? This will change. Writing a parser for a network protocol? It will happen. Transitioning a customer to the cloud? The sky isn't the limit for us.
We are looking for someone experienced in Golang to support our backend team. You would be mostly working on the REST and GraphQL API and the integration with the models from the machine learning team.
Ravelin is pioneering the use of machine learning in the prevention of e-commerce fraud and has been very successful in the four years we have been in operation. Companies all over the world are accepting more transactions with fewer chargebacks thanks to our machine learning-based approach to fraud prevention.
THE ROLE
Ravelin is looking for a Software Engineer to own the development of a high volume fraud technology platform within a small tech team. You will be encouraged to have opinions about the strategic direction of the company and products, as well as owning the development team from the front.
In the day-to-day work, you’ll be working closely with our skilled engineers to build internal processes that are so reliable they melt into the background and run software at scale under real-world conditions.
Ravelin also encourages learning and development of new and existing skills (machine learning, neural networks, python, Golang, cloud automation etc).
RESPONSIBILITIES
Preferable:
About the Role
At Techcyte, we are building machine learning algorithms for microscopy testing using the latest in deep learning. To support these applications, we use AWS in a dynamically scaling environment while maintaining the availability and quality requirements of medical grade software.
We use the following technologies (and more!):
The goal of our DevOps team is to create a self-service system for everyone to get their job done. This means designing intuitive and well-documented infrastructure as code that allows others to get their jobs done efficiently, securely, and correctly instead of doing it all for them. At Techcyte, we believe the primary developers are the best suited to dissect production problems, and the DevOps team provides top-notch tools and methods to help them do that. As such, our DevOps members are still developers and will participate in product development, but they should be evangelists for thinking about code in the context of where and how it runs.
Candidates must meet the following requirements:
Candidates will be asked to code in the interview process.
About the Company
Work from Home
While we do have offices available for use, our workforce spends the majority of their time working from the comfort of their home. Every team member has a daily standup meeting to touch base with their team and a monthly all hands meeting for the whole company to get updates. Additional meetings are created as needed, and the majority are impromptu.
Benefits
We offer competitive salaries, healthcare benefits, paid time off, work from home, a bonus plan, and equity.
Hard Problems
Techcyte develops products using computer vision and deep learning to automate microscopy for laboratory testing for healthcare, veterinary services, and environmental testing. We need to analyze the equivalent of a blu-ray movie worth of images in the cloud in only a few minutes while staying reliable and accurate. Major problems include transferring, processing, and storing terabytes of data, creating queuing systems that balance turnaround times with costs, and building a pipeline around machine learning models that meet the accuracy requirements of human healthcare.
Extremely Talented People
We have a wide range of talent spanning a variety of industries and positions. We have built a culture of fast paced and agile development in the face of a healthcare system that has been rigid. We are building massive scale systems to implement bleeding edge research. Come interview with us and you will see top notch engineering talent that can compete with any organization on the planet.
Improve the World
Our mission is to improve healthcare and laboratory testing throughout the world. We improve the work environment for our users, improve the accuracy of tests, and lower costs and turnaround times for the healthcare system. We push new innovation in technology, workflow, and regulations to make the healthcare system the best it can be. We have already improved accuracy in laboratory testing that have prevented misdiagnoses, and we are striving to do more.
Lead Engineer - Go, Python, AWS
Are you an enthusiastic, experienced engineer with excellent experience in Go or Python, looking for the opportunity to work in a small and growing start-up?
MachineMax is actively hiring a Lead Engineer to join them - a team of around 20 people, they are creating a world first machine analytics service that will deliver, analyse and visualise data to improve machine efficiencies through the use of IoT technologies, Machine Learning methods, and cutting-edge techniques.
This is a true opportunity to shape and build both a product and an engineering culture. Far from your typical start-up, MachineMax has been incubated with BCG Digital Ventures, a fortune 50 corporate partner, and a venture capital firm managed by a Facebook founder.
As a Lead Back End Engineer you'd be joining a tight-knit, collaborative team in a role that is a mixture of hands on coding, mentorship of less experienced developers, and contribution of software development expertise to the rest of the venture team.
Responsibilities: Develop a range of APIs to serve multiple internal consumers, from customer facing apps to machine learning pipelines Design and deliver high quality, well-tested code in Go/Python Communicate with other teams and individuals to plan, coordinate and collaborate Pitch in where needed as a valued member of an autonomous, cross-functional team Share technical solutions and product ideas Champion testability, security, and scalability
Requirements: Excellent development experience building scalable backend services in Go or Python Excellent architecture and design skills Experience working with distributed systems Analytical skills, with a love for problem solving and troubleshooting Confidence in deploying production applications using AWS, Google Cloud or similar Enthusiasm for CI/CD and the benefits you've seen when using this in previous projects A strong understanding of databases and when to use relational and non-relational A strong understanding of the fundamentals - data structures, algorithms, OO design and system architecture Unix/Linux experience Communication skills, happy to collaborate and talk with the rest of the team Solid understanding of Agile development methods
Bonus, shares, free gym, pension, subsidised canteen, and nice people!
Mixture of F2F interviews and coding tests.
⎘ Copy Link ↗ Visit LinkSenior Backend Developer - London
About Coda
Coda is a technology company with a mission to build the best mobile games for each individual user with help of latest design trends and technology available for personalized experiences. Experimentation, creativity, and data are at the core of what we do.
We are a well-funded seed stage company founded by mobile industry veterans who have worked together for the past 6 years and exited their previous company. The company is based in London, and we have team members in Berlin and Istanbul.
About our team
We are a group of entrepreneurs who came together to build great games. After having exited the previous company that we built together and sold, our key goal is to make an impact in an area we are all passionate about and have fun.
We started and built the biggest mobile ad network in the Middle East and Southern Europe region and sold it to AdColony, one of the biggest, the inventors of rewarded video ads in mobile games. Our expertise is in the commercialization of games at scale, enabled by complex technology platforms.
Our goal is to bring together the best talent that is fit to go after our mission, regardless of background and location. We believe in opportunity equality and in the ability of diverse thinking teams to make a world-changing impact. We are looking to join up with other risk takers to form the foundation of our team.
Job Description
We are looking for experienced backend engineers to build the Coda platform from scratch. You will be one of the pioneer engineers who contribute to all parts and elements of the data platform we are building, from infrastructure to architecture to development.
You will work in a team consisting of experienced backend, data and machine learning engineers, directly reporting to CTO, for designing and building an integrated platform with numerous components and services, the primary intention being recording, querying and processing data. Agility, speed, robustness, security and availability are the core properties of the system we are aiming for. Although there are particular technologies we would like you to be experienced with, the main acceptance criteria for this role are system thinking ability, perfect problem solving skills and desire for constant positive contribution to Coda’s success.
Responsibilities
Qualifications
Why join Coda?
*You’ll get to benefit from being part of a transparent and early stage team where you can get exposure to various aspects of a company whilst deploying your own expertise with a clear product vision and the funding to survive the chasm * You will work on some of the hardest technical and operational challenges in the industry - explore and break your own limits and help us break our own * Yes it’s mission impossible and yes we know our ambitions are slightly over the top but we bring experience and resources of a proven team that has achieved a wild dream before and is hungry for more * You will work with a diverse team that has learning, having fun and achieving long term goals as top priorities
We Offer
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Ravelin is looking for a senior backend engineer to lead the development of a high volume fraud technology platform within a small tech team. You will be invited and expected to have opinions about the strategic direction of the company and products, as well as leading the development team from the front. A successful candidate will be willing learning new skills (machine learning, neural networks, python, golang, cloud automation etc), turning their hand to necessary tasks and working with complete autonomy.
Code for Humans
Your machine is happy if it compiles; your team is happy if they can understand what it does. Your pull requests are succinct and a pleasure to review, you have unit tests where it matters, and you understand that the code is not, in fact, the documentation.
Reliable & Resilient Software Not for you the happy path or the assumed network. That habit of yours of assuming the worst and planning for it has earned your stripes in the world of running software at scale under real-world conditions.
Tools for the Team
Whether it's a smart command line utility or a core internal library, you excel at improving everyone's lives by removing repetition & common sources of error, and by solving hard problems in accessible ways. You build internal processes that are so reliable they melt into the background but are key to getting work done.
APIs
You've been on the receiving end of APIs good and bad, and want to delight our customers with the high quality they expect. You know that whilst everything should be JSON, sometimes you have to get your hands dirty with some SOAP for that critical integration but know how to isolate the contagion.
We are an equal opportunity employer and value diversity in our company. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, or disability status.
We are looking for a track record of:
Preferred experience with, but not required:
Delivering secure and well-tested solutions that scale:
Strive to take ownership of a project from ideation to delivery and maintenance. Your experience provides a framework for you to work independently on several initiatives which will provide significant and measurable value to our customers. Seek opportunities to develop horizontal technologies that benefit multiple teams. Build and automation tools to increase the quality of all teams at Ferrum.
Communicate and document everything. At Ferrum, we are a distributed team. A culture of sharing and documentation allows everyone to work together. We are looking for a practitioner of clear documentation that is well-maintained. You adapt your communication style to suit different audiences and follow up on feedback to ensure positive outcomes.
Are a team player. Ferrum is a high-growth, venture-backed, fast-paced startup. This means that while the team members we’re hiring will fully own their functions, we expect them to understand adjacent roles and responsibilities in order to support and sometimes contribute.
Are an out-of-the-box thinker. In a fast-paced startup environment, much of our success hinges on our ability to think differently from competitors, counter-position, outmaneuver, iterate rapidly, and present compelling messaging that differentiates us from the pack.
Think healthcare can be better and want to have an impact in the industry. Ferrum’s team is first and foremost, mission-driven. Our mission is to help hospital systems use AI to improve patient care, and the work that we do impacts patient lives every day.
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Are you passionate about building high performant products or using cutting edge technologies? Are you interested in defining our products, working closely with Product Management, in a fast-paced Agile environment? Are you looking to be impactful and contribute to engineering initiatives to achieve product goals with excellence? StackRox has an opportunity for you where you can contribute your skills, expertise, ingenuity and passion to help us succeed in our mission!
WHO WE ARE LOOKING FOR
We are looking for a software engineer who is skilled in building large scale distributed software systems that are highly performant while reducing the cost of deployment in cloud infrastructures. The ideal candidate cares deeply about performance, resource footprint, elegant coding with a great understanding of data structures and algorithms for enterprise-grade products, and is a fearless experimenter with a willingness to try new things. You'll fit right in if you like solving challenging problems by architecting elegant solutions, designing algorithms and writing code.
QUALIFICATIONS
PREFERRED QUALIFICATIONS
ABOUT US
StackRox helps enterprises secure their cloud-native applications at scale from container build and deployment through runtime. Founded in 2014 by Sameer Bhalotra (former White House senior director for cybersecurity) and Ali Golshan (former co-founder and CTO of Cyphort), StackRox has assembled a team of experts in security, infrastructure, and machine learning. StackRox enables security teams to centralize container deployment governance, visualize the container attack surface, expose malicious activity, and stop attacker activity. It combines a new security architecture, machine learning, and protective actions to disrupt attacks in real time and limit their impact. Partnered with Docker, Amazon, Google, IBM and Red Hat, StackRox is the choice of both Global 2000 and emerging cloud-native enterprise companies.