\nWho are we?\nOur mission is to scale intelligence to serve humanity. We’re training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI.\n\n\nWe obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. We like to work hard and move fast to do what’s best for our customers.\n\n\nCohere is a team of researchers, engineers, designers, and more, who are passionate about their craft. Each person is one of the best in the world at what they do. We believe that a diverse range of perspectives is a requirement for building great products.\n\n\nJoin us on our mission and shape the future!\n\n\nWhy this Role?\nOur finetuning team owns and delivers our finetuning experience to our customers. The efforts undertaken by this team directly contribute to our success as a company. Most recent projects included launching a comprehensive suite of finetuning including chat, generate, classify and rerank finetuning, improving reliability, and launching a programmatic API for managing finetunes. This team works across almost all teams at Cohere and at times, engages directly with our customers.\n\n\nPlease Note: We have offices in Toronto, San Francisco, New York and London. We embrace a remote-friendly environment, and as part of this approach, we strategically distribute teams based on interests, expertise, and time zones to promote collaboration and flexibility. You'll find the Finetuning team concentrated in the PST and EST timezone. \n\n\n\n\n\n\n\n\n\n\n\nIn order to be successful in the role, you have:\n* Experience finetuning LLMs, including conversational, generative and embedding\n* Experience building production-grade machine learning systems\n* A passion for delivering joyful experiences to customers\n* Experience in Golang (or, other languages designed for high-performance scalable servers) and Python (or, other scripting languages)\n\n\n\nAdditional qualifications that will help you excel in the role are:\n* Experience training, serving, and/or deploying LLMs\n* Experience working on embeddings - in a personal or a professional setting! \n\n\n\n\n\n\n\n\n\nIf some of the above doesn’t line up perfectly with your experience, we still encourage you to apply! If you consider yourself a thoughtful worker, a lifelong learner, and a kind and playful team member, Cohere is the place for you.\n\n\nWe value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants of all kinds and are committed to providing an equal opportunity process. Cohere provides accessibility accommodations during the recruitment process. Should you require any accommodation, please let us know and we will work with you to meet your needs.\n\n\nOur Perks: \n🤝 An open and inclusive culture and work environment \n🧑💻 Work closely with a team on the cutting edge of AI research \n🍽 Weekly lunch stipend, in-office lunches & snacks\n🦷 Full health and dental benefits, including a separate budget to take care of your mental health \n🐣 100% Parental Leave top-up for 6 months for employees based in Canada, the US, and the UK\n🎨 Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement\n🏙 Remote-flexible, offices in Toronto, Palo Alto, San-Francisco and London and co-working stipend\n✈️ 6 weeks of vacation\n\n\nNote: This post is co-authored by both Cohere humans and Cohere technology. \n\n#Salary and compensation\n
No salary data published by company so we estimated salary based on similar jobs related to Python, API, Golang and Engineer jobs that are similar:\n\n
$60,000 — $110,000/year\n
\n\n#Benefits\n
💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
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This job post is closed and the position is probably filled. Please do not apply. Work for Knock.com and want to re-open this job? Use the edit link in the email when you posted the job!
\nOur homes are our most valuable asset and also the most difficult to buy and sell. Knock is on a mission to make home buying and selling simple and certain. Started by founding team members of Trulia.com (NYSE: TRLA, acquired by Zillow for $3.5B), Knock is an online home trade-in platform that uses data science to price homes accurately, technology to sell them quickly and a dedicated team of professionals to guide you every step of the way. We share the same top-tier investors as iconic brands like Netflix, Tivo, Match, HomeAway, and Houzz.\n\nWe are seeking a passionate Senior Data Engineer to help us design and build our data infrastructure, data aggregation and ingestion platform. This platform powers our proprietary pricing algorithms, data analytics, and our internal and customer-facing applications such as Knock.com website. You will integrate data from various sources (MLSes, assessor/tax and parcel data), and manage full data lifecycle (ETL).\n\nOur data stack consists of Go, Python and Scala. We use ElasticSearch, Postgres, and Spark heavily. We are ownership-driven, and you will own your projects from design, implementation to operation. We are looking for someone who is passionate about creating great products to help millions of home buyers and sellers buy or sell a home without risk, stress, and uncertainty.\n\nResponsibilities:\n\n\n* Design, architect, build and maintain big data infrastructure and tools.\n\n* Write reliable and efficient programs to handle a broad set of big data use cases.\n\n* Data qualification, verification and validation.\n\n* Committed to good engineering practice of testing, logging, alerting and deployment processes.\n\n\n\n\nRequirements:\n\n\n* BS or MS in Computer Science, Statistics, Mathematics or equivalent.\n\n* Minimum of 5 years of full lifecycle software development experience in data engineering, including coding, testing, troubleshooting, and deployment.\n\n* Strong hands-on expertise with building resilient and reliable ETL pipelines.\n\n* Programming proficiency in Go, and at least one of Scala or Python.\n\n* Strong SQL knowledge (MySQL or Postgres), familiarity with techniques to identify slow queries and debugging\n\n* Experience working in the AWS data ecosystem (S3, RDS, EMR, Lambda, Redshift, MQs, Kinesis).\n\n* Understanding of containerized workloads (Docker, Kubernetes, ECS)\n\n* Strong desire to contribute to a rapidly growing startup and being comfortable with learning new tools and technologies.\n\n\n\n\nBonus points for knowledge of:\n\n\n* Real estate markets, MLS assessor/tax and parcel data\n\n* RETS/RESO APIs for extracting real estate data\n\n* GIS datasets (shapefiles, GeoJSON, etc)\n\n* Open source mapping data (OpenStreetMap (OSM), OpenAddresses)\n\n* Apache Spark\n\n* ElasticSearch\n\n\n\n\nWhat we can offer you:\n\n\n* An amazing opportunity to be an integral part of building the next multi-billion dollar consumer brand around the single largest purchase of our lives.\n\n* Talented, passionate and mission-driven peers disrupting the status quo.\n\n* Competitive cash, full medical, dental, vision benefits, 401k, flexible work schedule, unlimited vacation (2 weeks mandatory) and sick time.\n\n* Flexibility to where you live and work within the United States.\n\n\n\n\nWe have offices in New York, San Francisco, Atlanta, Raleigh, Charlotte, and Dallas with more on the way, but we are also a distributed company with employees in 17 different states so we are open to any U.S. location for this role.\n\nKnock is an Equal Opportunity Employer. Individuals seeking employment at Knock are considered without regard to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, or sexual orientation.\n\nPlease no recruitment firm or agency inquiries, you will not receive a reply from us.\n\n\n\n \n\n#Salary and compensation\n
No salary data published by company so we estimated salary based on similar jobs related to Senior, Golang, Python, Scala and Engineer jobs that are similar:\n\n
$80,000 — $130,000/year\n
\n\n#Benefits\n
💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
# How do you apply?\n\nThis job post has been closed by the poster, which means they probably have enough applicants now. Please do not apply.
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