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Qdrant Jobs in New York (NOW HIRING)

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 ...

Python GenAI

Jersey City, NJ · On-site

$52.50 - $72.25/hr

Enterprise Redis Database, Qdrant, Cockroach * Must have experience of working with Model Risk Management/Model Governance, which includes * Delivering on a Gen AI project following the model ...

Senior Forward Deployed Engineer

Manhattan, NY · On-site

$115K - $158K/yr

Hands-on design with vector databases (Pinecone, Qdrant, pgvector) and retrieval systems. * Evaluation & Observability : Rigorous deployment tracking using tools like LangSmith or Braintrust to audit ...

New

AI Engineer (US)

New York, NY · On-site

$114K - $157K/yr

Practical experience with GraphRAG or knowledge graph-based retrieval (e.g., Neo4j, Microsoft GraphRAG) and vector databases (Pinecone, Weaviate, Qdrant, etc.). * Proficiency in Python and solid ...

Lead Data Engineer - Vice President

Jersey City, NJ · Hybrid

$119K - $143K/yr

Familiarity with vector databases - such as Milvus, Pinecone, Qdrant, or Chroma - for GenAI and large language model use cases. Understanding of dimensional modeling, Data Vault, and schema-on-read ...

AI Data Engineer

New York, NY · On-site

$125K - $150K/yr

Understanding of data requirements for ML/AI systems, including experience with vector databases (Pinecone, Weaviate, Qdrant) and embedding pipelines Preferred Experience * Experience building data ...

Background with vector databases like Pinecone, Weaviate, Qdrant, or similar tools. * Familiarity with Claude Enterprise or other secure LLM environments. * Experience designing agent-based ...

AI Data Engineer

New York, NY · On-site

$125K - $150K/yr

Understanding of data requirements for ML/AI systems, including experience with vector databases (Pinecone, Weaviate, Qdrant) and embedding pipelines Preferred Experience * Experience building data ...

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Qdrant information

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.

What are popular job titles related to Qdrant jobs in New York?

For Qdrant jobs in New York, the most frequently searched job titles are:

What cities in New York are hiring for Qdrant jobs?

Cities in New York with the most Qdrant job openings:

Infographic showing various Qdrant job openings in New York as of August 2026, with employment types broken down into 94% Full Time, 1% Part Time, and 5% Contract. Highlights an 68% Physical, 4% Hybrid, and 28% Remote job distribution.

Machine Learning Engineer, Entry

Paramount

Manhattan, NY • On-site

$124K - $186K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired today. Applications are no longer accepted.


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 the power to 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.


Overview
As a member of the Applied Machine Learning Group, you'll help build a world-class streaming experience within the team. Your mission is to get the user watching. You own the "onboarding" and "re-entry" experience, including high-commitment surfaces like Your Next Watch (YNW), Jump Back In (JBI), and While You Were Away (WYWA).
You'll put customers first by using MLFlow for experiment tracking, Qdrant for retrieval, and Post-training RL to ensure that the content we surface at the start of a session is what the user is most likely to commit to. You will be in charge of implementing the components that solve the "Cold Start" problem for new users and provide seamless re-entry for returning ones. You'll work in an IC2 (Mid-level) role to ensure these surfaces, which optimize for Start Rate under uncertainty, identify if a user stays or leaves within the first 30 seconds of app launch.
 
Responsibilities
  • Independent Delivery: Own the implementation of features for JBI (Jump Back In) and YNW (Your Next Watch).
  • Retrieval Optimization: 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 high bar for reproducibility.
  • Model Training: Develop and serve models in GCP using TensorFlow/PyTorch, incorporating Post-training RL for reward-based optimization.
  • Collaborative Quality: Participate in design reviews to ensure your components share the same high-reliability standards as the rest of the pod.
  • Solving Cold Start: Build the logic that makes the app feel personalized even for users we know very little about.
  • High-Commitment Accuracy: Optimize for the "Play" button-the ultimate signal of user commitment.
Basic Qualifications
  • 3+ years in MLE.
  • Experience with GCP and MLFlow.
  • Proficiency in TensorFlow/PyTorch.
  • Knowledge with Vector DBs.
  • Proven ability to implement features that solve the "Cold Start" problem for new users.
  • Experience managing, tracking, and deploying experiments to ensure a high bar for reproducibility.
Bonus Skills
  • Background in multi-stage ranking or "Cold Start" problems.
  • Experience with retrieval optimization and re-entry carousels.
  • Knowledge with Post-training RL for reward-based optimization.

#LI-JJ1

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: $124,000.00 - 186,000.00. 

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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