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Proficient with the core concepts of at least one programming language such as Python, R, and SQL and adept with machine learning frameworks such as TensorFlow and PySpark. Skilled in Prompt Engineering and AI chatbot/user facing applications with features such as search, translation, and summarization.
$119,025 - $198,375 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Proficiency in Python and Data Science Frameworks, CUDA, Kubernetes, PyTorch. Things like RAG, Vector Search, Fine Tuning, Embedding, and even eventually training a full scale LLM from scratch.
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1+ years of industry experience post PhD or 3+ years of industry experience post graduate degree of developing machine learning models with business impactExperience with machine learning methods in Recommendation System, Search, Causal Inference, Optimization, Time Series, Natural Language Processing, Large Language Model, Computer Vision.
$140,100 - $210,100 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Shape the team’s roadmap with partners on Product Management, Design, Data Science and Research. The Engineering Manager for the Search Experience team is a high visibility, high impact role that is responsible for one of Pinterest’s core features: Search.
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Statistical programming skills (Python or R) and big data manipulation in SQL; (a plus to have experience building predictive models) Deep knowledge on key marketing channels (TV/OTT, Search, Social, Programmatic, and offline) and experience with MMM and MTA measurement solutions.
$148,500 - $185,100 a yearInternExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Creating APIs, laboratory integrations, bioinformatic tooling, and ML infrastructure using Python, Django, PostgreSQL databases, and AWS services. Expertise with healthcare data, bioinformatics, genetics, ML infrastructure, or growth marketing.
$151,000 - $209,000 a yearFull-timeExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Experience in one or more of the following areas: NLP, Ranking, Ads, search engine, recommender system, distributed system, and machine learning. or Python, winners of competitions such as ACM/ICPC, NOI/IOI, Top Coder, Kaggle, etc.
$250Full-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Experience with any of the following: Data Architecture, Elastic Search, DBT, AirHow, Palantir Foundry, Data Quality tools, Collibra, MOM, Informatica, Spark, Snowflake, Teradata, SAP Business Warehouse, Business Objects Suite.
$200,000 - $255,000 a yearFull-timeExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Hands-on Scripting & Programming in Python, Ansible, bash, data parsing (regex), etc. Data ingestion & enrichment from various sources, webhooks, and REST APIs with JSON/YAML/XML payloads & testing POSTMAN, etc.
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Excellent coding ability, data structures, and fundamental algorithm skills, proficient in C/C. Data construction, instruction tuning, preference alignment, and model optimization; Responsible for the research and application of the company's large-scale models, exploring new applications and solutions for related technologies in the fields of search, recommendation, advertising, content creation, and customer service, to meet the growing demand for intelligent interactions from users and comprehensively improve their way of life and communication in the future world.
$250ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience architecting systems and data pipelines that can handle the ingestion, digitalization, storage, and retrieval of document-heavy data sets, including document processing, search, and classification.
$170,000 - $203,000 a yearFull-timeExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Experience with our technical stack: Vertex AI, Qwak, LLMs, Airflow, Python, PostgreSQL, Google Cloud, Django. We utilize data from myriad sources, including IoT, supply and demand-side financial & market transactions, economic time series, and user behavior streams.
$160,000 - $250,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience working with a spectrum of environmental, socio-economic, and infrastructure data sets and large datasets using programming language (e.g., MATLAB, Python, R) WSP is currently initiating a search for a Senior Consultant to support our company’s growing Resilience Services Practice and our Climate, Resilience and Sustainability Team. This is a full-time position located in any of our offices in the United States.
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Excellent proficiency in Python (or R), SQL skill, and an obsession with data breadth, depth, and quality. Search Engine Optimization is an art form to which we are bringing more scientific, measurement, and statistical rigor.
$150,000 - $269,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Experience with distributed large-scale data processing (preferably Apache Spark). Fluency in at least one modern object-oriented programming language (preferably Java/Kotlin and Python.
$206,300 - $305,700 a yearFull-timeExpandApply NowActive JobUpdated 3 days ago
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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.
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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.
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Building a candidate pipeline through a great internship program for local college students and recent graduates at local universities is a great and cost-effective way to attract and retain top talent. By offering meaningful and impactful work experiences, regular feedback, coaching, and mentorship, you can create a positive internship experience that will make your organization a sought-after destination for future employees. This not only benefits the organization in the short-term but also in the long-term, as you'll have a pool of well-trained and experienced candidates who may be interested in full-time employment once they graduate. Furthermore, building relationships with local universities and college students can increase brand awareness and build a positive reputation for your organization in the local community.
Hiring Transparency
Transparency in hiring refers to the open and honest communication and information sharing that takes place between employers and job candidates. It encompasses all aspects of the hiring process, from posting job descriptions to providing feedback on performance during and after the interview process. In today's job market, hiring transparency has become increasingly important for both employers and candidates alike.
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