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Machine Learning Engineer Quantization Jobs in New York

Entravision

Machine Learning Engineer

Manhattan, NY · On-site

Machine Learning Engineer New York, NY | Full Time COMPENSATION RANGE: 140,000.00 - 170,000.00 (On Target Earnings) The Role: As a Machine Learning Senior Engineer you will be part of all the major ...

Finch Services

Machine Learning Engineer

Manhattan, NY · On-site +1

$180K - $280K/yr

Machine Learning Engineer Legal work is buried in unstructured documents, repetitive workflows, and data that no existing system handles well -- and we're building the AI to fix it. As a Machine ...

Inizio Partners

Machine Learning Engineer (GCP)

Manhattan, NY · Remote

$58.25 - $79.75/hr

Machine Learning Engineer- 2 Positions Overall experience of minimum 7 years and machine learning experience of at least 3 - 4 years. Location- Remote Overview: As a GCP ML Engineer, you'll design ...

WITHIN

Machine Learning Engineer

New York, NY · Hybrid

$90K - $254K/yr

We are in search of an exceptional Machine Learning Engineer to join our accomplished team. In this role, you will take the lead in developing and fine-tuning predictive ML models, with a primary ...

Spotify

Machine Learning Engineer

New York, NY · On-site

$148K - $212K/yr

We are looking for a Machine Learning Engineer to join the Personalization (PZN) team - an area of hardworking engineers that are passionate about understanding what drives user satisfaction with ...

PhysicsX

Machine Learning Engineer

New York, NY · On-site

Who We're Looking For As a Machine Learning Engineer in Delivery, you are a problem solver who stays anchored to impact. You are someone who can grasp advanced engineering concepts across multiple ...

Capital One

Lead Machine Learning Engineer

New York, NY · On-site +1

$112K - $147K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You ...

Capital One

Lead Machine Learning Engineer

New York, NY · On-site

$112K - $147K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You ...

Jane Street

Machine Learning Engineer

Manhattan, NY · On-site

We are looking for an engineer with robust experience in machine learning and strong mathematical foundations to join our growing ML team and to help drive the direction of our ML platform. Machine ...

Indeed

Machine Learning Engineer

Manhattan, NY · On-site

As a Machine Learning Engineer, you will prepare datasets, train and optimize models, and maintain and improve model inference services. You will learn and apply new techniques from open source ...

Jane Street

Machine Learning Engineer

New York, NY · On-site

We are looking for an engineer with robust experience in machine learning and strong mathematical foundations to join our growing ML team and to help drive the direction of our ML platform. Machine ...

Jane Street

Machine Learning Engineer

New York, NY · On-site

We are looking for an engineer with robust experience in machine learning and strong mathematical foundations to join our growing ML team and to help drive the direction of our ML platform. Machine ...

Button

Senior Machine Learning Engineer

Manhattan, NY · On-site

$153K - $198K/yr

Senior Machine Learning Engineer Button's mission is to empower the companies shaping the creator and affiliate economy - fueling mobile growth with innovation and new paths to monetization. Today ...

Colgate-Palmolive

Machine Learning Engineer

Manhattan, NY · On-site

$130K - $170K/yr

Machine Learning Engineer Established in 1806 as a small soap and candle business in New York City, Colgate-Palmolive is now a truly global company with products sold in over 200 countries and ...

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Machine Learning Engineer Quantization information

What are some common challenges Machine Learning Engineers face when implementing quantization techniques in production models?

Machine Learning Engineers working on quantization often encounter challenges such as balancing reduced model size and computational efficiency with maintaining acceptable accuracy levels. Adapting quantization methods to different hardware platforms can also require significant testing and optimization. Additionally, engineers must frequently address compatibility issues with existing deployment pipelines and ensure that quantization-aware training is properly integrated to minimize performance degradation. Collaboration with hardware and software teams is essential to streamline deployment and achieve optimal results.

What are the key skills and qualifications needed to thrive as a Machine Learning Engineer Quantization, and why are they important?

To thrive as a Machine Learning Engineer Quantization, you need a solid background in machine learning, deep learning, and computer science, typically supported by a degree in a related field. Familiarity with quantization techniques, frameworks such as TensorFlow Lite or PyTorch, and experience with hardware accelerators are crucial. Strong problem-solving skills, attention to detail, and effective collaboration set top performers apart. These capabilities are vital for efficiently deploying high-performing models on resource-constrained devices and ensuring scalable, real-world AI solutions.

What does a Machine Learning Engineer Quantization do?

A Machine Learning Engineer specializing in quantization focuses on optimizing machine learning models by reducing their size and computational requirements without significantly sacrificing accuracy. This involves converting model parameters and computations from high-precision formats (like 32-bit floating point) to lower-precision formats (such as 8-bit integers). Quantization enables faster inference, lower memory usage, and allows models to run efficiently on edge devices and mobile platforms. These engineers work closely with data scientists and hardware teams to implement, test, and validate quantized models in production environments.

What is the difference between Machine Learning Engineer Quantization vs Data Scientist?

AspectMachine Learning Engineer QuantizationData Scientist
Required CredentialsBachelor's or master's in CS, ML, or related; certifications in ML or AIBachelor's or master's in statistics, CS, or related; certifications in data analysis or statistics
Work EnvironmentDeveloping optimized ML models, deploying quantized models for efficiencyAnalyzing data, building predictive models, interpreting results
Industry UsageTech companies, AI hardware firms, embedded systemsFinance, healthcare, marketing, research institutions

Machine Learning Engineer Quantization focuses on optimizing ML models for deployment efficiency, often working closely with hardware and software teams. Data Scientists analyze data and build models for insights. While both roles require ML knowledge, quantization engineers specialize in model compression techniques, whereas data scientists focus on data analysis and interpretation.

What are popular job titles related to Machine Learning Engineer Quantization jobs in New York? For Machine Learning Engineer Quantization jobs in New York, the most frequently searched job titles are:
What job categories do people searching Machine Learning Engineer Quantization jobs in New York look for? The top searched job categories for Machine Learning Engineer Quantization jobs in New York are:
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Machine Learning Engineer Quantization jobs near you
Machine Learning Engineer

Machine Learning Engineer

Entravision

Manhattan, NY • On-site

Other

Medical, Dental, Vision, Retirement

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

Job description

About Entravision
Entravision is a leading global advertising, media and ad-tech solutions company connecting brands to consumers by representing top platforms and publishers. Our service portfolio enables high-performance campaigns while using highly competitive audience reach, cutting-edge mobile programmatic solutions, machine-learned bidding algorithms and demand-side platforms on a global scale.
About Smadex
Smadex is a leading advertising technology company founded in Barcelona in 2010 and sold to American-based and stock-listed Entravision in 2018 (NYSE: EVC). We are one of the top mobile ad-tech companies in the world and the largest Demand Side Platform (DSP) based in Europe, with our revenues over +$100M and consistently growing +40% YoY over the past years. And with an incredible 100% growth last year.
Machine Learning Engineer
New York, NY | Full Time
COMPENSATION RANGE: 140,000.00 - 170,000.00 (On Target Earnings)
The Role:
As a Machine Learning Senior Engineer you will be part of all the major architectural decisions and developments we make on our algorithms, especially in our deep neural network algorithms
What you will do:

  • You will be responsible for developing new features, measuring the performance and improving our pipelines. Our ML Engineer role combines the classic "ML Scientist" and "Data Engineer" role at other companies
  • You will also play an analytical role researching, designing, implementing, and deploying full-stack scalable data analytics and machine learning solutions to challenge business issues, as well as working closely with our Tech and Ops team
  • You will work on unique modeling challenges not covered in the scientific literature, like extreme positive sample sparsity and labelling delay.
  • Analyze data from different sources and provide actionable insights to business and engineering stakeholders
What's in it for you?
  • Great compensation package tailored to the U.S. market.
  • Career pathing and continued education available
  • Highly engaged leadership to support you in your position and career
  • Opportunity for international travel
  • Comprehensive medical, dental & vision benefits
  • 401k matching
  • Summer Fridays & Team building events
Skills and requirements:
  • 2+ years of relevant experience in Data science positions
  • Very strong coding ability: Python, Scala, Java
  • Proficiency in building high-performance algorithms in production
  • Proficiency in solving problems
  • Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical significance tests)
  • Experience in data mining and predictive modelling: deep neural networks, logistic regression, clustering and time series analysis models
  • Knowledge of Bitbucket/Git version tools
  • Experience working with SQL and data warehousing
  • Possesses excellent communication skills both verbal and written
  • Able to mentor other team members
  • Fluency in English

POSITION TYPE/EXPECTED HOURS OF WORKThis is a Full Time position. Actual schedule and hours may vary.
SUPERVISORY RESPONSIBILITYReports directly to Machine Learning Senior Director
Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities and activities may change at any time with or without notice.
Entravision Communications Corporation participates in the E-Verify system operated by the US Department of Homeland Security and the Social Security Administration and will use E-Verify to confirm work eligibility for all new hire employees.
Entravision Communications is an Equal Opportunity Employer.
We encourage women and minorities to apply

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