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Apprentice Machine Learning Testing Jobs in New York

Teleskope

Machine Learning Engineer

New York, NY · On-site

$160K - $210K/yr

About the role We are seeking a Machine Learning Engineer to strengthen our element classification ... Implement evaluation, monitoring, and regression testing frameworks in collaboration with QC. * ...

PhysicsX

Machine Learning Engineer

New York, NY · On-site

... testing, CI/CD, API design, MLOps) * Building machine learning models and pipelines in Python, using common libraries and frameworks (e.g., TensorFlow, MLFlow) * Distributed computing frameworks (e.g ...

Attentive

Senior Machine Learning Engineer

New York, NY · On-site

$244K - $320K/yr

As a Senior Machine Learning Engineer, you will play a critical role in building, scaling, and ... Proactively safeguard model and system quality through testing, monitoring, validation, and ...

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 ... Solve complex problems by writing and testing application code, developing and validating ML models ...

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 ... Solve complex problems by writing and testing application code, developing and validating ML models ...

Capital One

Lead Machine Learning Engineer

Manhattan, NY · On-site +1

$112K - $148K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of ... Solve complex problems by writing and testing application code, developing and validating ML models ...

Phia

Senior Machine Learning Engineer

New York, NY · On-site

$185K - $265K/yr

Overview As a Senior Machine Learning Engineer at Phia, you'll build and scale production ML ... Solid understanding of experiment design and causal inference, including A/B testing and offline ...

Prudential

Lead, Machine Learning Engineer

Newark, NJ

$107K - $141K/yr

Solve complex problems by writing and testing application code, developing and validating ML models ... Machine Learning and Deep Learning: Good understanding of: ML algorithms like linear regression ...

Zencastr

Senior Machine Learning Engineer (Remote)

New York, NY · On-site +1

$114K - $157K/yr

We are looking for an outstanding machine learning engineer to join our team! The role will provide ... Experience with unit, integration, and load testing * Experience building APIs * Experience with ...

Warnerbros

Machine Learning Engineer I

New York, NY

$106K - $146K/yr

CNN is seeking a Machine Learning Engineer I to build and deploy ML systems that power ... Implement rigorous experimentation and A/B testing frameworks to validate model performance and ...

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Apprentice Machine Learning Testing information

What kinds of projects or tasks can I expect to work on as an Apprentice Machine Learning Testing?

As an Apprentice Machine Learning Testing, you’ll typically assist in evaluating machine learning models by designing and running tests, analyzing model outputs, and helping identify issues like bias or overfitting. You may work closely with data scientists and software engineers to validate model performance and ensure results align with project objectives. Your daily tasks might include preparing test datasets, executing automated testing scripts, and documenting findings to help improve model reliability. This role often serves as a valuable introduction to practical machine learning workflows and quality assurance processes in technical teams.

What are the key skills and qualifications needed to thrive as an Apprentice Machine Learning Testing, and why are they important?

To thrive as an Apprentice in Machine Learning Testing, a foundational understanding of statistics, programming (especially Python), and basic machine learning concepts is essential, often supported by a degree or coursework in computer science or a related field. Familiarity with tools such as TensorFlow, PyTorch, Jupyter Notebooks, and version control systems is typically required. Strong analytical thinking, attention to detail, and effective communication skills help apprentices collaborate and identify testing issues efficiently. These skills ensure accurate model validation, effective troubleshooting, and contribute to the robust deployment of machine learning solutions.

What does an Apprentice Machine Learning Testing do?

An Apprentice Machine Learning Testing professional assists in evaluating and validating machine learning models to ensure they perform as expected. They typically work under the guidance of experienced data scientists or engineers, running tests, analyzing results, and helping to identify issues such as bias or inaccuracies in algorithms. Their responsibilities may also include developing test cases, writing reports, and learning about data preprocessing and evaluation metrics. This role is ideal for those who are new to the field and want to build foundational skills in machine learning quality assurance.

What is the difference between Apprentice Machine Learning Testing vs Machine Learning Engineer?

AspectApprentice Machine Learning TestingMachine Learning Engineer
Required CredentialsBasic understanding of ML concepts, often pursuing relevant certifications or degreesAdvanced degrees (BSc, MSc, PhD) in CS or related fields, with extensive experience
Work EnvironmentEntry-level, supervised testing environments, often in training programsFull-time, independent development and deployment of ML models in production
Employer & Industry UsageInternships, training programs, entry-level roles in tech companiesEstablished tech firms, startups, research institutions

Apprentice Machine Learning Testing roles focus on learning and assisting with testing ML models under supervision, while Machine Learning Engineers design, build, and deploy ML systems independently. The apprentice position is ideal for gaining foundational skills, whereas the engineer role requires advanced expertise and experience.

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

Machine Learning Engineer

Teleskope

New York, NY • On-site

$160K - $210K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 19 days ago

Job description

About Teleskope
Teleskope is redefining data security for the AI era with the only dedicated platform that combines precise visibility with automated remediation. Teleskope continuously scans, catalogs and classifies data in-motion and at-rest while automating policy-based actions, helping organizations proactively manage data sprawl while securely enabling AI adoption.
Fresh off our $25 million Series A round, Teleskope is entering a high-growth phase backed by top-tier investors and exceptional product-market fit.
About the role
We are seeking a Machine Learning Engineer to strengthen our element classification system - working closely with data scientists and data annotators to ship and improve entity classification pipelines across varied data sources (text, documents, relational data, OCR, etc.). This role will bridge research experimentation and production implementation, helping evolve our current pipelines and advance toward our next generation element classification system.
This is a hybrid role requiring 3+ days in-office in New York City.
What You'll Do:
  • Lead a team responsible for building, maintaining, and scaling production ML pipelines for entity extraction and data element classification across diverse data types.
  • Partner with both analytics and ML-focused data scientists to translate experiments into deployed systems and unblock technical bottlenecks.
  • Implement evaluation, monitoring, and regression testing frameworks in collaboration with QC.
  • Drive incremental improvements to classification models and pipelines with a focus on measurable impact.
  • Advocate for and implement best practices around model deployment, versioning, and operational monitoring.

About you:
  • 4+ years of experience building and deploying ML systems in production.
  • Strong experience with NLP systems and supervised entity classification models.
  • Comfort moving from research prototypes to CI/CD and production pipelines.
  • Proficiency in Python with common ML tooling.
  • Strong analytical instincts and problem solving under ambiguity.
  • Collaborative communicator who can partner across data science and engineering functions.

What you'll get:
  • A high-impact role at an early-stage startup in a fast-growing market.
  • Ownership over ML systems that directly power every customer workflow on the platform.
  • An opportunity to contribute to core ML systems that power our classification service.
  • A beautiful, well-stocked office in NYC's Financial District.
  • Flexible vacation and work from home days.
  • Competitive salary and meaningful equity.
  • Health, vision, dental, 401k and more benefits, heavily subsidized by Teleskope.

What We Value:
At Teleskope, we value strong engineers who build real systems. We look for team members who combine ML depth with pragmatic execution, take ownership of critical infrastructure, and ship reliable solutions that deliver real-world security and privacy outcomes.

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