Ask HN: Who is hiring? (June 2020)

We're building the platform that enables thousands of data scientists to develop better medicines, grow more productive crops, build better cars, or simply recommend the best song to play next. Data scientists are being called upon to solve ever more complex problems across every facet of business and civil life. Domino allows them to develop and deploy ideas faster with collaborative, reusable, reproducible analysis.

Our stack is Scala/Java, Play, Kubernetes, MongoDB, and React. Ideally, we'd like someone who's comfortable with these technologies, but we're always excited to meet great engineers who can quickly learn new technologies.

If you are interested in learning more, check out https://www.dominodatalab.com/careers/engineering/ to see this opening as well as others we are actively attempting to fill.

We are mainly looking for talent for these specific roles:

• Head of Data Partnerships and Content Operations

• Product Manager

• Fullstack Engineer (Go, JavaScript, PostgreSQL, ES)

• Frontend (Vue.JS, Ionic, Capacitor, TypeScript, React Native) — especially with TV and mobile hybrid experience

• Site Reliability Engineer

• Working Student for Site Reliability Engineering

• Working Student for Frontend Engineering.

JustWatch promotes a culture of learning with a high degree of autonomy and room for personal growth. We work on hard problems, with low politics, clear focus and great context. We don't have any non-technical product management and like it that way. Our development philosophy balances fast hacking with a solid architectural foundation. We are a self-funded and profitable start-up, founded in 2014 in Berlin and currently employing around 50 great people. If you're into great code architecture, good naming, like to (continuously) deliver production code and actually help build a product bringing value to tens of millions monthly users already, let us know. For more on how we work, our culture, values and engineering practices, be sure to check out our blog.

Are you interested? Great, we'd love to hear from you. Just send us an email at talent@justwatch.com. We don’t believe perfect CVs exist, we just want to know who you are and who you want to become.

At Wrk, we’re building a world where machines enable humans to expand their abilities and skill sets, where a hybrid human+machine delivers more, better & faster than either alone, and where the value of the output they provide is compensated on deliverables, not time.

This is an early stage startup, we're about 6 months old but are gaining traction quickly. All roles are remote - you can work from anywhere, although for now we're trying to focus on North American timezones to have decent amounts of overlap between people.

We're looking for software engineers with any of the following skill sets:

* Front-end development (TypeScript)

* Back-end distributed systems (Python 3, Go, Postgres, gRPC)

* SRE (kubernetes, Google Cloud)

We're focusing on a "fast is slow" approach to development. Limiting technical debt, code reviews, rigourous testing, and defensive coding practices. Nobody likes 3am pages, or scrambling to ship something when the world is falling apart.

If all that interests you, feel free to take a look at our job posting: https://wrk.breezy.hr/p/48b46df64e66-software-engineers

The Natural Language Processing (NLP) Signals team is part of Cortex, the central machine learning organization at Twitter. Cortex’s mission is to empower internal teams to efficiently leverage machine learning by providing platform, modeling and research expertise while advancing the ML technologies within Twitter.

We tackle Twitter specific challenges in the NLP domain such as the real-time, ever changing nature of our data and limited context. We apply and advance state of the art natural language processing techniques to invent new models and systems that can be used to improve various Twitter experiences for our customers.

Requirements:

- Post-graduate or PhD in Computer Science or Machine Learning related degree with a focus on NLP; or equivalent work experience in the field

- 3+ years NLP applied research experience, preferably experience applying NLP research to real-world problems in the industry

- Experience in building production ML models and understanding of inference challenges at scale

- Good theoretical grounding in core machine learning concepts and techniques

- Ability to perform comprehensive literature reviews and provide critical feedback on state-of-the-art solutions and how they may fit to different operating constraints

- Experience with a number of ML techniques and frameworks, e.g., data discretization, normalization, sampling, linear regression, decision trees, SVMs, deep neural networks, etc.

- Familiarity with one or more deep learning software frameworks such as Tensorflow, PyTorch

If you are interested in joining a team at the intersection of NLP and product @twitter with executives standing up for their employee and rights, please reach out alim@twitter.com