Northwestern University’s Center for Connected Learning & Computer-Based Modeling (CCL) is looking for a full-time Software Developer to work on NetLogo. We are looking for a system builder who can design and implement a whole application independently. You will work in a small collaborative development team in a research group that also includes professors, postdocs, graduate students, and undergraduates, supporting the needs of multiple research projects. A major focus will be on development of NetLogo (in both Desktop and Web form), an open-source modeling environment for both education and scientific research. CCL grants also involve development work on HubNet, NetTango and other associated tools for NetLogo, including research and educational NSF grants involving building, delivering, and assessing NetLogo-based science curricula for secondary schools. NetLogo is the most widely used agent-based modeling software, and has hundreds of thousands of users worldwide using it for both research and education.
Languages used for new development are mainly Scala and JavaScript.
https://careers.northwestern.edu/psp/hr857prd_er/EMPLOYEE/HR...
We're looking for talented backend engineers who are skilled in functional programming in scala. This role is hybrid in SF, NYC, or London. DM me or email me directly at eliot.goldstein@writer.com if you're interested!
rest of tech stack: cats effect (2 and 3), scala 2.12 -3, http4s, fs2
Links to job descriptions: https://jobs.ashbyhq.com/writer/aa68721e-07bc-4ebc-a06d-0774... https://jobs.ashbyhq.com/writer/5d18c7fe-47b4-41d1-825b-16da...
We have an open headcount on my team at Databricks (Compute Lifecycle) for a senior or staff engineer! Typically this means 5+ years of experience. For this role, we're also looking for experience with distributed systems (and ideally experience running Kubernetes at scale). We're based out of San Francisco and Mountain View. Databricks has returned to office, so applicants must be able to commute to one of these two offices at least two days a week.
Databricks started out building a platform based on Apache Spark. Over the last few years, we've built an all encompassing platform for enterprises to make use of all structured and unstructured data. This includes tools to allow all users (technical or not) to quickly query and visualise data. Lately, we've integrated machine learning and generative AI technologies into the product - acquiring MosaicML last year, a leader in LLM infrastructure.
Our team maintains several systems that automate cluster provisioning at scale and allow us to manage hundreds of Kubernetes clusters that power Databricks' serverless products across all 3 major clouds. This includes heavy collaboration with MosaicML to support our new GenAI products.
Tech stack wise, we primarily use Go (for Kubernetes facing components) and Scala for Databricks' internal services. We're one of the biggest users of Cluster API, EKS and AKS.
This team is one of the strongest I've been fortunate to work with and the complexity of the environments we work in and the products we support means that there's a lot to learn!
If you're interested and could be a fit, please send me a resume at sunil.shah@databricks.com.
(Unfortunately I am not involved with university recruiting and cannot refer candidates for these roles - please keep an eye on https://www.databricks.com/company/careers/university-recrui... for those.)
In the US, we spend an average of over $12,500 per person each year on healthcare -- that’s almost twice what other developed countries spend. Healthcare in the US costs a staggering $4 trillion dollars per year, almost 1/5 of our Nation’s entire economy. Yet with all this resource, our healthcare outcomes are poorer than other countries, people still can’t afford their healthcare, and our healthcare providers are burnt out.
Moreover, our healthcare is systemically unequal. People of color, lower income, and LGBTQ+ have demonstrably worse healthcare outcomes, a disparity grimly highlighted by the pandemic we’re living through now where people of color are three-times more likely to die from COVID-19.
How can this be, and how can we change it?
Nuna is tackling one of the most hardest problems in healthcare underlying the negative outcomes and disparities we see: how healthcare gets paid.
Today, hospitals only get paid when they do more-- more visits, more tests, more meds, more surgeries. Hopefully this helps patients get better, but regardless, the system gets paid. In fact, doing more is the only way to stay afloat.
But -- is this really the right set of incentives? Shouldn’t everyone get rewarded not just by doing more, but by when patients actually get better? Shouldn’t everyone have access to affordable, high quality care, and shouldn’t hospitals be rewarded when they deliver this care? And shouldn’t insurance companies get rewarded when they help ALL their patients get better?
Absolutely, yes. This concept is called Value-Based Care. In fact, healthcare as a whole has been trying to move in this direction for years, but making it all reality is deeply complex -- it is after all our healthcare. Nuna’s technology platform, our software apps, our vision, and our exceptionally talented team are collectively accelerating the healthcare system’s ability to make value-based care available to everyone.
In 2022, Nuna will power over $70B of healthcare payments for over 6.5M patients. We also leverage our data science and platform to direct patients to the best, culturally-matched, and accessible care providers for them. Additionally, we make it transparent and easy for both hospitals and insurers to see how they are performing in value-based care by spotlighting the patients or areas where they need to pay extra attention so that they can provide good care to all their patients and get rewarded.
Nuna is unique - we have brought together an exceptional team of over 200 people. We are the industry’s best in healthcare data, analytics, engineering, clinicians, and value based healthcare experts. We have joined forces to create a more equitable health system for everyone.
Our dreams and ambitions to change healthcare as we know it are big. If yours are too, we want to work with you.
Open positions include:
* Senior Product Designer, Consumer
* Senior Data Scientist, Algorithm Development
* Sr Software Engineer, Rewards Backend
* Senior Data Scientist, LLM
* Senior Software Engineer, AI/ML Productionization Engineer (LLM/RAG)
* Lead Software Engineer, Rewards AI/ML
* Sr Flutter Mobile Software Engineer, Rewards
* Lead Software Engineer, Data Platform
* Lead Business Analyst
* Lead Software Engineer, Program Engine
* Lead Software Engineer, Developer Infrastructure
* IT Manager (for engineering org, NOT operations)
Jobs Board: https://bit.ly/nuna-job-board
Frontend: React, Typescript, Flutter (Android and iOS)
Backend: Django, Python, Kotlin, Scala
Cloud: AWS
Questions? Email: recruiting+hn@nuna.com
Radar Labs is location infrastructure as a SaaS platform. Over the past year Radar has been used from 100M+ devices doing 10,000 qps. We are are a small but mighty engineering team (13 engineers!). Our main languages are Rust and TypeScript, and we also use languages relevant to mobile development and offline pipelines (Python, Scala, and Terraform). We're based in NYC with our HQ in Union Square. There's a ton of opportunity to make an impact and work on a variety of things, as we're a pretty fluid team: Backend (Our Rust geocoder and other high-throughput data infra), Mobile (e.g. open-source mobile infrastructure, building a control system that automatically configures optimizing battery-life and location accuracy for different use-cases over time), Full-Stack (e.g. build tools to visualize and debug location data at scale) What you'll do:
- Work on core Radar infrastructure (mobile, backend, or full-stack)
- Embody our "Walk a mile" value by walking around to QA and debug the Radar SDK
- Have your work run on 100's of millions of devices
- Talk to Radar customers and prospects, hear their feedback, incorporate it into your work and make them successful
Check out our jobs page here: https://radar.com/jobs#jobs
If you have any questions, feel free to reply here or you can e-mail me at tim@radar.com
Apollo Agriculture (YC F1) is bringing modern farming to the world's poorest farmers. Millions of farmers globally don't have access to the basic resources the rest of the world depends on for food production: good seed and fertilizer. We sell these on credit, use ML to figure out who we can lend to profitably, and are growing rapidly (two countries and growing).
We are a small, motivated team with SV roots and an ownership culture. Come help us make a real difference in the world!
Hiring for several roles:
- Software Engineer: Our core engineering team supports a wide range of tools and processes. Our primary stack is Scala 2 w/ cats, backed by psql. If you are an experienced and practical problem solver, we'd love to meet you.
- Machine Learning Engineer: We build and run several different models to determine credit eligibility, detect fraud, etc. Our ml engineers are hands-on and provide production-ready models for other teams to consume.
... due to our size and focus, we look for candidates who are experienced and can be autonomous -- at least at the "senior" level. Visa sponsorship is possible!
Drop me a line at elijah@apolloagriculture.com if you're interested; I'm happy to chat.