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Tensorflow Pytorch Jobs in New York (NOW HIRING)

Paramount

Machine Learning Engineer, Entry

Manhattan, NY · On-site

$124K - $186K/yr

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 ...

Paramount

Machine Learning Engineer, Entry

Manhattan, NY · On-site

$124K - $186K/yr

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 ...

Virtusa

AI Architect

New York, NY · On-site

Experience with AI frameworks and libraries (e.g., TensorFlow, PyTorch). * Solid understanding of machine learning algorithms and data structures. * Ability to work with large datasets and cloud ...

New

Inficare Technologies

Sr. GenAI Engineer

Jersey City, NJ · On-site

$108K - $149K/yr

Experience with TensorFlow, PyTorch, Scikit-learn, and OpenAI API * Cloud platforms: AWS, Azure, Google Cloud Platform, Snowflake, or Databricks * Containerization: Docker, Kubernetes; microservices ...

Virtusa

AI Solution Lead

Jersey City, NJ · Hybrid

Technical Acumen: Solid understanding of AI/ML concepts, frameworks (e.g., TensorFlow, PyTorch), and cloud platforms (e.g., AWS, Azure, GCP). Hands-on experience with LLMs and agentic AI

Virtusa

AI Architect

New York, NY · On-site

Experience with AI frameworks and libraries (e.g., TensorFlow, PyTorch). * Solid understanding of machine learning algorithms and data structures. * Ability to work with large datasets and cloud ...

New

Accord Technologies Inc.

Sr. AI Developer w/ Reactjs

Warren, NJ · On-site

$56.50 - $74.75/hr

Strong proficiency in Python, with experience in AI/ML libraries such as TensorFlow, PyTorch, or Hugging Face. * Hands-on experience with React.js and front-end development. * Practical knowledge of ...

Accord Technologies Inc.

Gen AI Architect

New York, NY · On-site

$69 - $90.75/hr

Experience with AI/ML tools and frameworks such as TensorFlow, PyTorch, Hugging Face, LangChain, LangGraph, or similar. * Deep understanding of data workflows, feature engineering, model training ...

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Tensorflow Pytorch information

What are the key skills and qualifications needed to thrive as a Deep Learning Engineer specializing in TensorFlow and PyTorch, and why are they important?

To thrive as a Deep Learning Engineer with a focus on TensorFlow and PyTorch, you need a strong background in computer science, mathematics, and machine learning, typically supported by a relevant degree. Proficiency in programming languages like Python, experience with TensorFlow and PyTorch frameworks, and familiarity with cloud platforms or GPU computing are essential. Analytical thinking, problem-solving, and effective communication are standout soft skills for collaborating with teams and interpreting model results. These skills are crucial for developing, deploying, and optimizing AI models that drive innovation and solve complex real-world problems.

What are TensorFlow and PyTorch?

TensorFlow and PyTorch are two of the most popular open-source deep learning frameworks used by researchers and developers to build, train, and deploy machine learning models. TensorFlow, developed by Google, offers robust support for production environments and has a large ecosystem. PyTorch, developed by Facebook, is known for its flexibility, ease of use, and dynamic computational graph, making it popular in academia and research. Both frameworks support a wide range of neural network architectures and are used extensively for tasks such as computer vision, natural language processing, and reinforcement learning.

What is the difference between Tensorflow Pytorch vs Data Scientist?

AspectTensorflow PytorchData Scientist
Required SkillsDeep learning frameworks, Python, machine learningData analysis, statistical skills, Python/R, machine learning
Work EnvironmentAI/ML development, research, software engineeringData analysis, reporting, business insights
Industry UsageAI/ML projects, research labs, tech companiesBusiness, finance, healthcare, tech

Tensorflow and Pytorch are deep learning frameworks used primarily by AI/ML developers, while Data Scientists utilize these tools for data analysis and modeling. Although their skill sets overlap, Tensorflow Pytorch focus on model development, whereas Data Scientists apply these models to derive insights and inform decisions.

How do TensorFlow/PyTorch engineers typically collaborate with data scientists and other team members in a production environment?

TensorFlow and PyTorch engineers often work closely with data scientists to transform experimental machine learning models into efficient, scalable production solutions. Collaboration involves frequent code reviews, shared development environments, and regular meetings to align model requirements with deployment constraints. Engineers also coordinate with DevOps teams to ensure smooth integration and monitoring of models in production. Strong communication skills and a willingness to iterate on solutions are essential for bridging the gap between research and real-world application.
What are popular job titles related to Tensorflow Pytorch jobs in New York? For Tensorflow Pytorch jobs in New York, the most frequently searched job titles are:
What job categories do people searching Tensorflow Pytorch jobs in New York look for? The top searched job categories for Tensorflow Pytorch jobs in New York are:
What cities in New York are hiring for Tensorflow Pytorch jobs? Cities in New York with the most Tensorflow Pytorch job openings:
Tensorflow Pytorch jobs near you
Machine Learning Engineer, Ads Personalization

Machine Learning Engineer, Ads Personalization

Paramount

Manhattan, NY • On-site

$124K - $186K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-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: $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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