ML ⇌ Science Colaboratory | Eberhard Karls Universität Tübingen | Researcher in scientific ML | Onsite in Tübingen, Germany | https://www.mlcolab.org/ The Machine Learning ⇌ Science Colaboratory from the Eberhard Karls Universität Tübingen is looking for a motivated, skilled researcher working at the intersection of science, engineering, and people.

About us

We want to raise the power of scientific discovery by thoughtful application of machine learning techniques — closely working together with the research community of the University of Tübingen spanning the natural sciences, the social sciences, and the humanities.

Your role

• You will collaborate with scientists and ML researchers, teach practical ML, and write fast, reproducible, and documented code. • You will be contributing your experience toward developing models and software, coaching and giving advice, designing compelling explanations, and delivering them to postgraduate audiences. • You will interact with scientists and ML researchers to set up joint projects, sometimes leading teams to carry them out. • Our group is collegial and collaborative with access to exciting datasets and ML expertise in our research network that facilitate formulating projects aligned with our mission and your interests. Involvement in peer-reviewed publications is welcome but not required. • The position is E13 TV-L 100% in the salary scale, initially until end of 2025. You can check the range of the salary in the calculator linked, but if you have any questions, don't hesitate to contact us at Email is hidden (Link for salary calculator: https://oeffentlicher-dienst.info/c/t/rechner/tv-l/west?id=tv-l-2023) Your profile You possess a PhD degree in a quantitative discipline, good programming and teaching skills, and hands-on experience training deep learning ML models. How to apply

To apply, send your application (including cover letter, CV, transcript of records, links to code) in one single pdf file to Emily Gabaldón <Email is hidden> by 2.04.2023.

Find more information about us online in https://mlcolab.org/

Grit | Senior+ Engineers (ML, PL, Design, Backend) | New York, San Francisco | Full-time | $120–250k + equity

We’re building software to automatically fix technical debt. We do this by combining expressive static analysis tooling (we’ve built a developer-friendly query language for code) with machine learning to automatically migrate code to new patterns and platforms. We’re in private beta, but have already deployed thousands of successful changes for beta customers and have raised a $7M seed round from top investors.

We’ve got lots of fun challenges at the intersection of machine learning and programming languages. Our stack is Scala, Rust, TypeScript, Python, and Kubernetes. We’re hiring for both smart generalists and PL/ML experts who are interested in collaborating on problems like automatically inserting new types into codebases and using unit tests for reinforcement learning.

Here are a few reasons you might be interested in applying:

- We work fast and focus on shipping, with a single meeting per week (demos!).

- We’re working on the edge of the possible and doing deep technical work in parsers/language design and machine learning.

- We mostly work in-person in New York and San Francisco, but remote is also possible for outstanding candidates who have proven success in a remote model.

- I’m personally committed to giving real feedback to everyone who applies.

Find out more at https://www.grit.io/careers or email Email is hidden.

Thalo Labs | Carbon capture | https://thalolabs.com | NYC | Full-time

Hiring a software engineering lead, technician, process engineer, chief of staff and a business lead.

Thalo Labs a New York City-based company focused on accelerating our path to a net-negative carbon society.

We develop systems (hardware+software) that make it easy to measure and capture GHG emissions at the scale of the built environment. We are driven to provide practical solutions to emissions now and scale with the future of the green grid.

See current open roles here: https://jobs.lever.co/thalolabs

Cloudflare | Portugal, Germany, France, Netherlands (remote available in all the above mentioned countries)| Full-Time | Visa Sponsorship provided. Cloudflare is helping to build a better internet. We are looking for multiple systems engineer positions - focusing on building tools for Databases. We use Postgres, Go extensively.

Interesting distributed system challenges to work on. Think about Byzantine Failure, Network Partitions, Clock sync issues etc. Our stack is built on open source software.

https://www.cloudflare.com/careers/jobs/?title=database

Happy to chat/answer any questions vignesh[@]cloudflare[.]com

Trunk | https://trunk.io | Sr Full Stack / Sr C++ | Full-Time | Remote / Hybrid, SF

Trunk is an a16z funded dev tools startup, redefining software development at scale. We've built three products so far and have plans for more:

* Trunk Check: a universal linter/formatter, available as a CLI, VSCode extension, and CI check; * Trunk Merge: a merge queue, to ensure that PRs are tested in order before they're merged; and * Trunk CI Analytics: timing & pass/fail stats for GH Actions (e.g. "how often does this workflow step actually succeed?") In 2022, we raised a $25M Series A led by Initialized Capital (Garry Tan) and a16z (Peter Levine) [1].

Our tech stack:

* Frontend: Typescript, React, Redux, Next.js * Backend: Typescript, Node, AWS, CDK, k8s, gRPC, Envoy+Istio * Observability: Prometheus, Grafana, Kiali, Jaeger * CLI: C++20, Bazel * VSCode Extension: Typescript * CI/CD: GitHub Actions * General: GitHub, Slack, Linear, Slite Unlimited PTO (and we all actually take PTO), competitive salary and equity packages! Please apply here: https://trunk.io/jobs

[1] https://blog.trunk.io/trunk-raises-25m-to-build-a-unified-de...

Actively | Software Engineers (full-stack & backend/data infra) | Full-time | NYC | Onsite

I'm one of the founders of Actively — our vision is to turn every knowledge worker into a data scientist by building interactive ML tools that combine human expertise with machine intelligence. Here's [more on us](https://actively-ai.notion.site/about-actively-9dabd208d3a54...) + a demo of some of the core tech if you're curious :)

We're based in NYC and are well-funded by top investors; our (paying!) customers are analytical business teams (think growth, sales, marketing, etc.) at Series C through IPO companies who have tons of questions to answer but very limited access to data scientists.

We think of our first product as a "metrics optimization platform" where business users connect to their data, plug in any KPI they care about as an aggregation over that data, and define their levers, and then we continuously optimize that business metric (conversion, churn, upsell, activation, etc.) -- incredibly quickly and without the need for a data scientist.

Our thesis is that the two barriers to widespread adoption of AI/ML among business teams are (1) lack of clarity around ROI upfront and (2) the large amount of effort/time required to implement a solution (hire a data scientist, build a bunch of data infra, have them work for a few months, etc.). We solve these by building the right abstractions and human-in-the-loop interfaces to make it incredibly quick for business teams to unlock value from their data -- so quick that we can plug into their data and show them the ROI within a few minutes!

We're fairly small (our current team comes from Stanford/Google/Waymo/Scale AI/Microsoft) but are growing the team based on customer demand and looking for entrepreneurial, experienced product and infrastructure engineers who are also excited to work closely with customers + dig in on product & across the business! I'd love to chat: Email is hidden!

Keywords: AI, ML, machine learning, active learning, explainable AI, causal inference, data science, full-stack, product engineering, data infrastructure

ML ⇌ Science Colaboratory | Eberhard Karls Universität Tübingen | Researcher in scientific ML | Onsite in Tübingen, Germany | https://www.mlcolab.org/ The Machine Learning ⇌ Science Colaboratory from the Eberhard Karls Universität Tübingen is looking for a motivated, skilled researcher working at the intersection of science, engineering, and people.

About us

We want to raise the power of scientific discovery by thoughtful application of machine learning techniques — closely working together with the research community of the University of Tübingen spanning the natural sciences, the social sciences, and the humanities.

Your role

• You will collaborate with scientists and ML researchers, teach practical ML, and write fast, reproducible, and documented code. • You will be contributing your experience toward developing models and software, coaching and giving advice, designing compelling explanations, and delivering them to postgraduate audiences. • You will interact with scientists and ML researchers to set up joint projects, sometimes leading teams to carry them out. • Our group is collegial and collaborative with access to exciting datasets and ML expertise in our research network that facilitate formulating projects aligned with our mission and your interests. Involvement in peer-reviewed publications is welcome but not required. • The position is E13 TV-L 100% in the salary scale, initially until end of 2025. You can check the range of the salary in the calculator linked, but if you have any questions, don't hesitate to contact us at Email is hidden (Link for salary calculator: https://oeffentlicher-dienst.info/c/t/rechner/tv-l/west?id=tv-l-2023) Your profile You possess a PhD degree in a quantitative discipline, good programming and teaching skills, and hands-on experience training deep learning ML models. How to apply

To apply, send your application (including cover letter, CV, transcript of records, links to code) in one single pdf file to Emily Gabaldón <Email is hidden> by 2.04.2023.

Find more information about us online in https://mlcolab.org/

Pinecone | Software Engineer: Infra & Tolls; Open Source APIs & SDKs | New York, NY (NYC) | Full-time | https://grnh.se/f13fe7453us

Pinecone (https://www.pinecone.io/) is building a vector database for machine learning applications. We're a distributed team with offices in New York and Tel Aviv. At Pinecone you will work with world-class scientists and engineers who have built large scale ML applications and platforms (including Amazon SageMaker) at leading companies and cloud providers. We are passionate about building great solutions by pushing the boundaries of science and technology.

Apply here: https://grnh.se/f13fe7453us

Rollbar | https://rollbar.com | Budapest | Design

About Rollbar:

* We're a ~45-person team (SF, Barcelona, Budapest, and remote US) with a mission to help developers build software quickly and painlessly

* We help tens of thousands of developers find and fix errors faster.

* Our backend handles billions of errors with low latency and high reliability

* Our front-end allows developers to discover and drill down across millions of errors in real-time

* Our customers are some of the best engineering teams in the world, including Twilio, Duolingo, Salesforce, and Twitch

* Our values are honesty, transparency, pragmatism, and dependability

We're currently hiring for:

- Senior UI/UX Designer / Visual Designer (Budapest)

- Full-stack Engineer (Budapest)

Please apply via: https://rollbar.com/jobs

Meetanshi | Content Writers, Magento Developers, Shopify Developers, React JS Developers, and Digital Marketers | Bhavnagar, India | Full-time | ONSITE | https://meetanshi.com

Meetanshi is an e-commerce solutions provider passionate about providing the best Magento extensions, services, and solutions to fit every business need.

Meetanshi has developed 200+ Magento extensions since its establishment in 2017 and aims to exceed eCommerce excellence. Meetanshi's vision is to bring eCommerce dreams to life by delivering quality solutions and becoming a top Ecommerce Innovator and Enthusiast.

Meetanshi offers a friendly work environment where ideas can be shared freely and emphasizes the upward growth trajectory of each employee. Meetanshi also takes social responsibility seriously and is working towards becoming a sustainable brand through tree plantation in collaboration with Tree Nation.

Apply here: https://meetanshi.com/career