515 Machine Learning Engineer jobs in Mahwah,NJ

Manual Machinist
Own tools and measuring equipment needed to assure parts are made to the proper dimensions
Ability to work in a fast-paced production environment
Ability to follow written and verbal instructions
Ability to communicate effectively with team members
Ability to operate machine equipment according to job instructions or training

SmartExplore AI is experimental.

New, Posted 12 hours ago

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Lead Machine Learning Engineer

Disney Entertainment Television Careers

New York, NY 10025

$179,700-$225,000/yr

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Quality Inspector

Ametek

Montvale, NJ 07645

~ 22 min Onsite

High school graduate
3-5 Years mechanical inspection, manufacturing experience
Experience in basic and advanced inspection techniques using various inspection tools and methodologies
Ability to read and interpret engineering drawings using geometric dimensioning and tolerances including and understanding of maximum material conditions
Strong understanding of GD&T;
Inspect detail parts per drawing requirement and specs using industry-standard measuring equipment
Prepare and maintain inspection reports
Program and/or operate Coordinate Measuring Machines
Perform small hand tool calibration
Collect and tabulate data for SPC use

SmartExplore AI is experimental.

New, Posted 1 day ago

DiversityJobs

Software Engineering/Applications Leadership Advisory - Executive Technology Services for Global Enterprises

Gartner

Newark, NJ 07175

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Production Worker (NDT Utility Worker Weekend Nights shift)

Howmet Aerospace

Dover, NJ 07801

~ 53 min OnsiteHealth InsurancePaid Time OffRetirement Benefit

High School Diploma or GED from an accredited institution
Employees must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire. Visa sponsorship is not available for this position.
This position entails access to export-controlled items and employment offers are conditioned upon an applicant's ability to lawfully obtain access to such items.
No relocation benefit is offered for this position. Candidates residing within a 50 miles radius of Dover NJ will only be considered.
Must be able to work flexible hours including night and weekends with little advanced notice
Basic Math Skills - Add/Subtract/Multiply/Divide
Intermediate Computer Skills
Must be able to read, write, and speak English

SmartExplore AI is experimental.

New, Posted 1 day ago

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Lead AI Engineer (AI Foundations, LLM Core and Agentic AI)

Capital One

New York, NY 10001

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Principal Engineer - Python API Development

Fidelity Investments

Secaucus, NJ 07094

~ 39 min OnsiteEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

Bachelor's or Master's degree in Computer Science, Software Engineering, or a closely related engineering discipline
8+ years (typically 10+) building and operating production platforms and services at scale
Deep software engineering expertise in Python and distributed systems
A track record of building production‑grade services, libraries, and internal platforms
Linux fluency and scripting are required
Cloud platform leadership (AWS) —hands-on with S3, Lambda, Batch, Step Functions, EventBridge, CloudWatch, and SNS/SQS—and experience shaping platform patterns that other teams adopt
Experience enabling managed ML services (e.g., SageMaker) as part of broader platform capabilities; exposure to Azure or GCP is beneficial
DevOps and CI/CD at scale, owning standards for automated build/test/deploy (e.g., Jenkins, Git‑based workflows), containerization (Docker), release governance, and multi‑environment promotion for ML‑enabled workloads
Infrastructure as Code (CloudFormation, Terraform/OpenTofu) and platform reliability engineering (SLOs/error budgets, capacity planning, cost observability, incident response, and post‑mortems) for ML serving and data/feature pipelines
ML enablement in production: model packaging, deployment strategies (batch/online/streaming), inference routing, traffic management, performance tuning, observability, and controls for responsible use—without a research or modeling focus
Cross‑org technical leadership: you mentor junior and senior engineers, are a backbone of code review across repos, and routinely consider impacts on upstream/downstream systems when proposing changes
Set platform strategy and standards for ML packaging, deployment, serving, and observability—driving consistent adoption across squads and business units
Partner with Data Scientists to package, scale, and operationalize models; define the APIs, guardrails, and automation that take work from experimentation to reliable production
Enable secure, scalable access to traditional and generative models by collaborating with platform and application engineers to integrate through enterprise gateways and services
Advance model/data observability—tooling for data and feature drift detection, prediction‑quality monitoring and uncertainty signals, and automated diagnostics/ explainability
Lead cross‑platform incident response and post‑mortems, drive systemic fixes, and evolve standards to prevent recurrence—across applications and the platform
Uplevel engineering velocity by introducing reusable frameworks, paved paths, and CI/CD templates that simplify integration, reduce toil, and improve reliability at scale
Reduce cost and complexity across the ML ecosystem through pragmatic technology choices, clear abstractions, and a long‑term platform roadmap
The base salary range for this position is $107,000-216,000 USD per year.
Base salary is only part of the total compensation package. Depending on the position and eligibility requirements, the offer package may also include bonus or other variable compensation.

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Director of Engineering

Marine Electric Systems

South Hackensack, NJ 07606

~ 32 min OnsiteHealth InsurancePaid Time OffRetirement Benefit

Bachelor's degree in Electrical Engineering or a closely related engineering discipline.
Significant experience in electrical engineering, sustaining engineering, production engineering, test engineering, or engineering leadership in a manufacturing environment.
Strong hands-on technical knowledge of electrical and electromechanical systems.
Experience with PCB troubleshooting, electrical testing, components, assemblies, and production support.
Ability to read and interpret drawings, schematics, specifications, technical data packages, and test procedures.
Experience supporting manufacturing, production, repair, or sustainment work.
Ability to make practical engineering decisions with imperfect information.
Strong communication skills and ability to work cross-functionally with production, quality, procurement, sales, and leadership.
Demonstrated ability to mentor junior engineers or technical staff.
Strong organizational skills and ability to create structure in a fast-moving small-company environment.

SmartExplore AI is experimental.