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Siri - Full Stack Web Application Developer

Apple Inc. in Seattle, WA 0 mi node.js scala python nlp hadoop

Job Summary:
Siri is fast becoming the best way to get things done by talking to our machines through artificial intelligence. Hundreds of millions of people now use Siri to send a message, play their favourite song, or even take a selfie.

Now imagine what you could do here.

We're looking for a passionate full-stack software developer who loves to build cutting edge software and has a passion for data and language to help take Siri to the next level.

Key Qualifications:
Object-oriented software design and programming
Coding skills across the full-stack: front-end (JavaScript and related frameworks such as React) as well as back-end (Node.js, Java, Scala, Python, etc.)
Experience with single page apps (SPA), ideally building annotation tools and/or visualisations for linguistic data (any NLP a plus)
Development of fault-tolerant, scalable online services end-to-end
Working knowledge of big data technologies (e.g. Spark, Hadoop) a plus
Agile software development

Description:
You will be working as part of an extraordinary team, including world-class software engineers, renowned academics, and expert machine learning practitioners who are all passionate about applying groundbreaking techniques to conversational dialogue.

You will work closely with data scientists to develop the new annotation and data tools that Apple uses internally for building the next generation of a more intelligent Siri. This requires a complex UI for the Machine Learning projects to help visualise tough concepts. Used by many users we develop fault tolerant scalable services. The real time nature of the platform will require you to ensure a high level of uptime. Your work will directly benefit to the user experience.

We collaborate with teams across Apple worldwide and you will join our Agile development teams working on client server design. You will have strong technical skills, a drive for high quality software and the ability to innovate creative solutions. Communicating clearly and having the flexibility to learn new technologies, while continuously developing your skills will be key to your success. You will fit into our teams, be a fantastic collaborator, comfortable with giving and receiving feedback and able to thrive in a dynamic environment.

If this is you, we'd love to hear from you.

Education:
BA/BS or MS in Computer Science or equivalent experience

Apple is an Equal Opportunity Employer that is committed to inclusion and diversity. We also take affirmative action to offer employment and advancement opportunities to all applicants, including minorities, women, protected veterans, and individuals with disabilities. Apple will not discriminate or retaliate against applicants who inquire about, disclose, or discuss their compensation or that of other applicants.

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Senior DevOps/ML Engineer

We're Equinor, an international energy company with a proud history. Formerly Statoil, we are 20,000 committed colleagues developing oil, gas, wind and solar energy in more than 30 countries worldwide. We're the largest operator in Norway, among the world's largest offshore operators, and a growing force in renewables. Driven by our Nordic urge to explore beyond the horizon, and our dedication to safety, equality and sustainability, we're building a global business on our values and the energy needs of the future.

The role of the COO organisation is to drive consistent long term safe and efficient operational performance and value creation. The COO organisation is responsible for the corporate improvement programs and works closely with the line in continuously improving Equinor's performance.

Are you interested and passionate about taking Machine Learning products to production?

The US Data Science team in Equinor is hiring a senior DevOps / Machine Learning Engineer. The team is one of several teams in our Data Science division within our Digital Centre of Excellence. Data science in Equinor is about creating value adding ML technology, not fitting algorithms to a perfect data set.
We believe that data scientists need to be responsible for delivering their models into production. Thus, we are building a container-based machine learning platform to facilitate machine learning deployment. We are looking for someone who is autonomous, passionate about new technologies and willing to help lead in all aspects of machine learning model deployment and operation.
The position is a unique opportunity to build competence around latest data science technologies. In addition, you will enjoy being part of a highly diverse and motivated team with a close link to the OMNIA team.

Job Description

• Design and implement a container-based Machine Learning platform.
• Implements tools and processes to manage our data science infrastructure and model deployment.
• Craft and maintain documentation of the platform and processes.
• Implement and optimize platform configurations for cost, security, and performance
• Work closely with Data scientists and guide them during the model deployment life cycle, until they are comfortable to deploy Machine learning product themselves
• Coordinate with and contribute to libraries of open source projects such as Kubeflow, Argo, Seldon Core, etc.
• Continuously improve the platform to adopt to new available technologies and to make it more and more automated reducing DevOps burden

Qualifications

• PhD or Master in Computer Science, Statistics, Applied Mathematics, Engineering or equivalent fields
• Expertise in Python
• Expertise in cloud infrastructure (Azure is a plus)
• Experience in managing and deploying container-based services (Docker, Kubernetes, AKS/ACS)
• Experience with microservices and deploying data science products at scale
• Experience with at least one configuration management tools such as Terraform, Puppet, Ansible.
• Experience with working in a DevOps team, incl. knowledge of the GitOPS process and best practices (travis-ci, jenkins…)
In addition, the following is considered a plus:
• Working knowledge of structured and unstructured Data
• Working knowledge of applying Machine Learning algorithms and libraries (Scikit-learn, TensorFlow)
• Working knowledge of Distributed systems and Big Data technologies Hadoop, Spark, Hive

Personal Qualities

• Ability to live by our safety and security expectations
• You are collaborative and open to new ideas & needs
• You are innovative, self-starting with an inner drive to always improve
• You are willing to take risks and to test and fail fast
• You have good communication skills
• You enjoy working in a diverse and ambitious environment

We Offer

Equinor offers a competitive salary and a comprehensive benefit package. Equinor is an equal opportunity employer.

General Information

Our values are to be courageous, open, collaborative and caring. We believe in these qualities, which are essential for building an even stronger Equinor. If you can identify with them, you could be the one to strengthen our team. Candidates are expected to openly offer all relevant information about themselves during the recruitment process.

All permanent and temporary hires will be screened against relevant sanctions lists to ensure compliance with sanctions law and increase security.

We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, and basis of disability or any other federal, state or local protected class.

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Senior Java Engineer

R&R Recruiting Resources in New York, NY 2407 mi java python apache-spark apache-kafka hadoop

Senior Software Engineer

at Yext New York, NY

Yext is the leading Digital Knowledge Management (DKM) platform. Yext's mission is to give companies control over their brand experiences across the digital universe of maps, apps, search engines, voice assistants, and other intelligent services that drive consumer discovery, decision, and action. Today, thousands of businesses including brands like Taco Bell, Rite Aid, and Steward Health use the Yext Knowledge Engine™ to manage their digital knowledge in order to boost brand engagement, drive foot traffic, and increase sales.

The Yext Engineering Team drives the technology behind our revolutionary product offering! We’re looking for Software Engineers to help us continue building out our product and services. Our team works in an agile environment running two-week sprints that culminate with demos of features in progress. You will work alongside engineers from the top universities and tech companies in the world, hands-on with the code from day one.

Responsibilities

  • Participate in full life-cycle software development

  • Design, implement, and deploy highly scalable and reliable systems

  • Build storage systems, libraries, and frameworks.

  • Contribute ideas for new features and identify areas for improvement proactively

  • Collaborate effectively across teams, including outside of engineering

  • Write clean, tested, and well-documented code

Minimum Requirements

  • BA/BS in Computer Science or related field

  • 7+ year of industry experience

  • Strong foundation in data structures, algorithms and software design

  • Fluency with Java, C++, Python, or similar (we use mostly Java)

  • Openness to new technologies and creative solutions

  • Comfortable working within a fast-paced high growth startup environment

**Compensation, Benefits & Perks

**Yext offers the following exceptional benefits: competitive compensation, 401k, unlimited snacks, daily meal allowance, flexible hours/paid time off, and excellent health/dental/vision insurance. We treat our employees well and offer tremendous growth opportunities. Challenging work pushes our people to be creative in a casual environment that is caring, fun, and collaborative. We believe that when you have smart, happy people working together you can produce something special.

**About

**Yext has been named a Best Place to Work by Fortune and Great Place to Work® as well as a Best Workplace for Women. Yext is headquartered in New York City with offices in Berlin, Chicago, Dallas, Geneva, London, Paris, Tyson's Corner, San Francisco, Shanghai, and Tokyo. Learn more about the Yext team and culture on the muse, our website, and our blog.

Yext is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know.

*US Based Candidates only! Preferring US Citizens or Green Card but open to valid H1B Transfer (must have 2 years left on H1B)

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