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Qdrant Jobs (NOW HIRING)

We use LlamaIndex and Qdrant today; we will evolve the stack as needed. * LLM integration with Anthropic Claude (primary), with multi-model routing where it makes sense. * Evaluation pipelines: how ...

Use Qdrant to find high-relevance candidates for re-entry carousels based on session history and global trends. * Experiment Lifecycle: Use MLFlow to manage, track, and deploy experiments, ensuring a ...

Use Qdrant to find high-relevance candidates for re-entry carousels based on session history and global trends. * Experiment Lifecycle: Use MLFlow to manage, track, and deploy experiments, ensuring a ...

AI engineer

Minneapolis, MN · On-site

$119K - $143K/yr

Proven experience with libraries like Hugging Face, LangChain, or LlamaIndex, and working with vector databases (e.g., Pinecone, Milvus, Qdrant). * Data Engineering : Strong competency in SQL and ...

New

Use Qdrant to find high-relevance candidates for re-entry carousels based on session history and global trends. * Experiment Lifecycle: Use MLFlow to manage, track, and deploy experiments, ensuring a ...

We use LlamaIndex and Qdrant today; we will evolve the stack as needed. * LLM integration with Anthropic Claude (primary), with multi-model routing where it makes sense. * Evaluation pipelines: how ...

Milvus, Qdrant), or similarity match & ranking techniquesDesigned and optimized RESTful servicesComfortable working within Linux/Unix environments

Milvus, Qdrant), or similarity match & ranking techniquesDesigned and optimized RESTful servicesComfortable working within Linux/Unix environments

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Qdrant information

How much does Qdrant cost?

Qdrant offers a free open-source version that can be self-hosted, with paid plans available for managed cloud hosting and enterprise features. Pricing for managed services varies based on usage, storage, and support options, typically starting from a few dollars per month for small deployments. For detailed costs, it is best to consult Qdrant's official website or contact their sales team.

Where is the Qdrant company located?

Qdrant is a company specializing in vector search and similarity search solutions. Its headquarters are located in the United States, and it offers remote work options for certain roles, including positions related to software development and data engineering.

How does Qdrant work?

Qdrant is an open-source vector search engine that enables fast similarity searches for high-dimensional data. It works by storing data as vectors and using algorithms like approximate nearest neighbor search to quickly find similar items, often integrating with machine learning models and requiring knowledge of vector representations and indexing techniques.

What is the difference between Qdrant vs Data Scientist?

AspectQdrantData Scientist
Required CredentialsTechnical certifications, knowledge of vector databasesDegree in Data Science, Statistics, or related field
Work EnvironmentTech companies, startups, AI-focused firmsResearch labs, tech companies, consulting firms
Industry UsageAI, machine learning, data storageData analysis, predictive modeling, research

Qdrant primarily focuses on managing and deploying vector similarity search databases, requiring technical skills in database management and AI tools. Data Scientists analyze data, build models, and interpret results. While both roles operate within the tech and AI industry, Qdrant specialists are more technical and infrastructure-oriented, whereas Data Scientists focus on data analysis and modeling.

More about Qdrant jobs
What cities are hiring for Qdrant jobs? Cities with the most Qdrant job openings:
What states have the most Qdrant jobs? States with the most job openings for Qdrant jobs include:
Machine Learning Engineer, Ads Personalization

Machine Learning Engineer, Ads Personalization

Paramount

Manhattan, NY • On-site

$130K - $195K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 23 days ago


Paramount Senior Living rating

5.3

Company rating: 5.3 out of 10

Based on 19 frontline employees who took The Breakroom Quiz


Job description

#WeAreParamount on a mission to unleash the power of content... you in?
We've got the brands, we've got the stars, we've got thepowerto achieve our mission to entertain the planet - now all we're missing is... YOU! Becoming a part of Paramount means joining a team of passionate people who not only recognize the power of content but also enjoy a touch of fun and uniqueness. Together, we co-create moments that matter - both for our audiences and our employees - and aim to leave a positive mark on culture.
OverviewWe are seeking a Machine Learning Engineer to join the PlutoTV pod. You will focus on Channel, Guide, and Schedule personalization. Your goal is to make the FAST (Free Ad-supported Streaming TV) experience feel as dynamic as a premium on-demand service. You will help build the models that select which channels appear in the guide and how content is scheduled to maximize viewer session length.
This role requires deep knowledge of FAST systems and the unique constraints of linear programming. You will implement features within our GCP stack, leveraging Qdrant for content similarity and Post-training RL to optimize the "Lean-back" viewing experience.
Why This Role Matters
  • Modernizing Linear TV:You are part of the team transforming the static EPG (Electronic Programming Guide) into a personalized, data-driven discovery engine.
  • Optimizing the "Lean-Back":Your models help users find something to watch immediately, reducing the friction inherent in "channel surfing."
  • Global Scale:PlutoTV is a leader in the FAST space; your code will impact the viewing habits of millions of users worldwide.

Key Responsibilities
  • Feature Development:Design and deploy ML components for channel ranking and guide personalization.
  • FAST Metadata Integration: Work with linear scheduling data to create features that account for "Current" vs "Next" program relevance.
  • Vector-Based Similarity:Use Qdrantto group similar channels and content to improve the "More Like This" experience within the guide.
  • Model Refinement:Train and iterate on models using TensorFlow/PyTorch, focusing on session-start and watch-time metrics.
  • Independent Execution:Own the delivery of defined tasks within the PlutoTV roadmap, from data exploration to production deployment.

Basic Qualifications
  • Minimum:3+ years in MLE; proficiency in Python/SQL; experience with TensorFlow/PyTorch and GCP.

Additional Qualifications
  • Preferred:Knowledge with FAST or Broadcast TV data structures; experience with Qdrant or similar vector databases.

#LI-PG1
Paramount Streaming, a division within Paramount Global, is the home to the company's direct-to-consumer services spanning free and paid in the form of Pluto TV and Paramount+. Pluto TV is the global leader in free ad-supported TV, delivering more than 1,400 global channels and an extensive library of streaming content, including live and original channels. Paramount+, digital subscription video-on-demand and live streaming service, combines live sports, breaking news, and A Mountain of Entertainment™. Paramount+ features an expansive library of original series, hit shows and popular movies across every genre from world-renowned brands and production studios, including SHOWTIME®.
ADDITIONAL INFORMATION
Hiring Salary Range: $130,200.00 - 195,300.00.
The hiring salary range for this position applies to New York, California, Colorado, Washington state, and most other geographies. Starting pay for the successful applicant depends on a variety of job-related factors, including but not limited to geographic location, market demands, experience, training, and education. The benefits available for this position include medical, dental, vision, 401(k) plan, life insurance coverage, disability benefits, tuition assistance program and PTO or, if applicable, as otherwise dictated by the appropriate Collective Bargaining Agreement. This position is bonus eligible.
What We Offer:
  • Attractive compensation and comprehensive benefits packages. Check out our full list of benefits here: https://www.paramount.com/careers/benefits
  • Generous paid time off.
  • An exciting and fulfilling opportunity to be part of one of Paramount's most dynamic teams.
  • Opportunities for both on-site and virtual engagement events.
  • Unique opportunities to make meaningful connections and build a vibrant community, both inside and outside the workplace.
  • Explore life at Paramount: https://www.paramount.com/careers/life-at-paramount

Paramount is an equal opportunity employer (EOE) including disability/vet.
At Paramount, the spirit of inclusion feeds into everything that we do, on-screen and off. From the programming and movies we create to employee benefits/programs and social impact outreach initiatives, we believe that opportunity, access, resources and rewards should be available to and for the benefit of all. Paramount is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ethnicity, ancestry, religion, creed, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, and Veteran status.
If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to use or access https://www.paramount.com/careers as a result of your disability. You can request reasonable accommodations by calling 212.846.5500 or by sending an email to paramountaccommodations@paramount.com. Only messages left for this purpose will be returned.

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