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Working knowledge in one of the following areas: machine learning, deep learning, backend, large-scale systems, data science, full-stack Experience with Big Data Frameworks, such as hadoop, spark, flink, etc.
$194,000 - $355,000 a yearFull-timeExpandApply NowActive JobUpdated 14 days ago - UpvoteDownvoteShare Job
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Must be able to lead engineering design, development and testing, as well as work jointly with other team members to develop services and infrastructure at the intersection of machine learning, Big Data, and distributed systems.
$135,200 - $205,700Full-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Experienced in at least one area of the following areas: personalized recommendations, search engine, machine learning, distributed storage system, big data frameworks is a plus.
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As a Software Development Engineer in Machine Learning at Amazon, you will contribute to the technical direction of our offerings and solutions, working with many different technologies across the sponsored products organization.
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Our capabilities range from C5ISR, AI and Big Data, cyber operations and synthetic training environments to fleet sustainment, environmental remediation and the largest family of unmanned underwater vehicles in every class.
ExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Java or Golang;•Effective communication skills and a sense of ownership and drive;•Experienced in at least one area of the following areas: personalized recommendations, search engine, machine learning, distributed storage system, big data frameworks is a plus.
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From Natural Language Processing, Query Understanding, Machine Learning, Ranking and Relevance, Big Data consumption all the way to complex experiences. AIML - Sr. Software Engineer, Siri Information Intelligence.
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We work closely with applied machine learning engineers and build scalable systems to support all kinds of innovative algorithms and techniques. Join the long-time task for building better index platform, feature platform, data center and other products in our team.
$104,500 - $139,650 a yearFull-timeExpandApply NowActive JobUpdated 14 days ago - UpvoteDownvoteShare Job
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You have experience in backend engineering, data infrastructure, search infrastructure or natural language processing/machine learning. You’ll improve search latency and relevancy using large scale data systems and machine learning.
ExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Domain expertise: programming languages, data analytics, machine learning (ML/AI), DevSecOps, Cloud, Big Data. Demonstrate expert-level knowledge/experience in Big data and Cloud technologies: Spark ML, Splunk, Elastic Search, Apache NiFi, AWS Glue, Cribl.io Logstream, and Hadoop.
$110,000 - $150,000 a yearFull-timeExpandApply NowActive JobUpdated 14 days ago - UpvoteDownvoteShare Job
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Mission Technologies a division of HII and their Cyber, Electronic, Warfare & Space team is looking to hire a DevOps and Android Software Engineer to work on a team that develops and manages a software product related to discovering new mobile data related to the mission working in a highly collaborative, integrated environment with other members of our Prototype Development Support.
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Our diverse workforce includes skilled tradespeople; artificial intelligence, machine learning (AI/ML) experts; engineers; technologists; scientists; logistics experts; and business administration professionals.
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Expertise in building Big Data Services using open source technologies like Elastic Search, Flink, Logstash, Kakfa, MongoDB, Hadoop, Spark, Trino/Presto, Hive, Airflow, Splunk. Machine Learning Engineer.
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Enlighten, honored as a Top Workplace from the Baltimore Sun, is a leader in big data solution development and deployment, with expertise in cloud-based services, software and systems engineering, cyber capabilities, and data science.
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As a Big Data Software QA Engineer, you will champion the assessment of Data Science Solution deliverables across various real time services for various products across PayPal, Venmo, Braintree and other areas, performing Big Data applications testing and API testing.
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FEATURED BLOG POSTS
Virtual Reality Job Interviews
With the advent of desktop computers, the arduous task of scouring through weekly job classifieds became a thing of the past. The mid-1990s brought about a new era where job seekers could easily search and apply for jobs online. The introduction of AOL's Instant Messaging feature provided an even faster means for employers and candidates to communicate and schedule interviews. As smartphones became more pervasive in the early 2000s, hiring managers increasingly used phone calls for screening and interviewing candidates. Despite this trend, over 80% of interviews still took place in person.
A Potential TikTok Ban?!
As you may already know, there has been a lot of talk lately about the possibility of a TikTok ban. While this has not yet come to fruition, it's important to consider the implications this could have for businesses and recruiters who rely on TikTok as a platform to market their brand, recruit new talent, and connect with their audience.
The Effects of Workplace Racism and Sexism
One day it's a covert statement to a mother returning to work after maternity leave. Another day it's a lingering gaze at an employee enjoying a culturally rich meal. These microaggressions (or sometimes macroaggressions) can take an employee from a confident, high-performer to one that feels insecure being themselves at work. Your employees engage with people with different ideas and feel most comfortable and valued when they can work without losing their cultural, racial, and gender identity. While most employers know this, why have workplace racism and sexism often been neglected?
When Rage Applying Strikes: How to Identify Unserious Candidates
As the job market remains highly competitive, we have seen a surge in "rage applying." This is when candidates apply to multiple jobs, often without considering whether they are truly interested in the role. Rage applying goes hand-in-hand with quiet quitting. Often, employees want to entertain the thoughts and feelings of leaving their job, but they aren't necessarily serious about leaving yet. Meanwhile, other employees engaging in this trend are actually trying to find a better role. As a recruiter, it can be hard to identify who are the real applicants in a sea full of quiet quitters, but understanding rage applying and identifying red flags will certainly help.
How to Increase Job Ad Exposure
In today's competitive job market, writing quality job ads is critical for attracting top talent to your organization. While networking and candidate referrals are prime real estate for finding qualified candidates, nothing beats the tried-and-true method of writing an extraordinary job ad. But while writing a great job ad is the first step, what's more important is increasing visibility. You could have the most detailed, well-written ad on the internet, but if no one sees it, then you are wasting time (and potentially money!). Employers often believe that job boards are the root of the problem, but you can learn how to increase job ad exposure by tweaking a few steps of your recruitment process.
How to Navigate Hiring Out of State
The job market has shifted significantly in recent years. The accelerated adoption of technology has not only pushed many companies into remote working arrangements but also increased the availability of supporting tools and technologies (i.e., video conferencing and collaboration software).