Hiring a Security Analyst at Sequoia Capital. VC Firm with great people and awesome work that needs to be done. Room for growth, learning and building.
To apply, email your resume to the email address in the Google doc.
Job location = Remote ok but US hours preferred. Or if you are in the Bay Area, we are based in Menlo Park (when the offices open back up) No interns No Visa considerations
Strateos(YC W15) | Front End, Back End and Full Stack Software Engineers, Product Managers | Menlo Park, CA | https://strateos.com | FULL TIME; ONSITE/VIRTUAL
Strateos is turning life science into an information technology by creating a fully automated cloud wet lab. Scientists anywhere can define and (reproducibly!) run experiments over the internet on-demand and without investing up-front in a lab facility.
The Strateos Common Lab Environment (SCLE) takes Autoprotocol (http://autoprotocol.org/), a high-level JSON description of a biological protocol, and executes it on our custom-built robotic workcells. The protocols we handle routinely involve solving constraint programming models with thousands of variables and constraints in order to find the best plan that fulfills the scientist's biological intent.
Scientists manage their experiments through our web application or via our API. We provide a single platform that controls scientific devices from many vendors in a unified way, and an interface to control our automated labs.
Tech stack includes: Linux, Scala, RabbitMQ, Rails, Typescript, React, Ansible, Postgres
Benefits include: full medical/dental/vision insurance; catered lunch and dinner when in office, and a fully stocked kitchen; flexible vacation policy; 401(k) with matching; gym and commuter reimbursement; and education reimbursement up to $3,000/year.
GRAIL | Software Engineer, Bioinformatics Scientist, Data Science, Project Management | Menlo Park, CA and London, UK | Onsite
Grail's blood test, Galleri, can detect 50 cancer types. Software is a key part of our product, from powering our clinical study program, processing samples to managing a large scale compute infrastructure. Our tech stack includes React, Go, AWS and open source programs such as Reflow and Bigslice.
Senior Software Engineer: https://bit.ly/35QqSZu
Staff Frontend Software Engineer/Architect: https://bit.ly/2DC4Kcw
Senior Software Engineer (London, UK): https://bit.ly/2ELRcfD
Software Engineer, Test: https://bit.ly/3jEkMCF
Bioinformatics Scientist: https://bit.ly/3aANm3r
Senior Data Scientist: https://bit.ly/30uvCnK
Lex Machina (a LexisNexis company) | Principal NLP Engineer / Data Scientist | ONSITE San Francisco, CA or Dallas, TX (REMOTE during COVID-19, perm. REMOTE negotiable) | open to VISA candidates
Headquartered in Menlo Park, CA, Lex Machina provides legal analytics to law firms and companies, enabling them to craft successful litigation strategies, win cases, and close business. After launching in 2011 with a focus on patent litigation, our startup expanded to other areas of intellectual property before being acquired by LexisNexis in 2015. Since acquisition we have expanded rapidly to cover many other areas of the law, with the support and stability of our parent company while continuing to operate as a small, tight-knit team.
We are looking for a Principal NLP Engineer / Data Scientist who has a background in NLP and information extraction. Ideal candidates will bring machine learning (including deep learning) experience that will be applied to some of our toughest problems. Additionally, it’s important that this individual have a strong software engineering background and track record of building products.
The NLP team at Lex Machina is responsible for the quality and accuracy of the data that drives our product. Our critical systems include:
- Attorney Data Engine, which extracts attorney and law firm information from court-filed PDF documents from courts all across the US. - Counsel normalization system, which uses clustering to create a unified view of each attorney and law firm from all their references across all supported courts. - Motion Metrics, which identifies attorneys and law firms who file court motions and analyzes language to determine the judge ordered outcomes.
We are a Python and Java shop, deploying in GCE (Google Compute Engine). Our RDBMS is Postgres and we also have a large Elasticsearch cluster. Engineers choose their hardware / development environment / tooling, etc.
Ideal candidates will have 10+ years of experience building software products, 5+ years professional experience with NLP, and several years of machine learning / deep learning experience.
Compensation is competitive and full benefits include medical, dental, vision, 401(k) with matching, short and long term disability insurance, tuition reimbursement, and more.
We are an equal opportunity employer and value diversity. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
Please submit resumes to email@example.com