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Ap Engineering Jobs (NOW HIRING)

Machine Learning Engineer

Manhattan, NY ยท On-site

$145K - $180K/yr

... AP Engineering organization, responsible for shaping how we build and scale machine learning systems at AP, helping to lay the foundation for our machine learning capabilities. The ML Engineer has ...

Machine Learning Engineer

Manhattan, NY ยท Hybrid

$145K - $180K/yr

... AP Engineering organization, responsible for shaping how we build and scale machine learning systems at AP, helping to lay the foundation for our machine learning capabilities. The ML Engineer has ...

Machine Learning Engineer

Manhattan, NY ยท Hybrid

$145K - $180K/yr

... AP Engineering organization, responsible for shaping how we build and scale machine learning systems at AP, helping to lay the foundation for our machine learning capabilities. The ML Engineer has ...

Machine Learning Engineer

New York, NY ยท Hybrid

$145K - $180K/yr

... AP Engineering organization, responsible for shaping how we build and scale machine learning systems at AP, helping to lay the foundation for our machine learning capabilities. The ML Engineer has ...

AP has diligently built a strong foundation of expertise, experience and exceptional results. We ... Exposure to value engineering, life cycle costing, and sustainability preferred. * Current or ...

AP has diligently built a strong foundation of expertise, experience and exceptional results. We ... Exposure to value engineering, life cycle costing, and sustainability preferred. * Current or ...

AP has diligently built a strong foundation of expertise, experience and exceptional results. We ... Exposure to value engineering, life cycle costing, and sustainability preferred. * Current or ...

AP has diligently built a strong foundation of expertise, experience and exceptional results. We ... Exposure to value engineering, life cycle costing, and sustainability preferred. * Current or ...

Prepares project specific analysis for YKK AP products to be used for compliance with construction documents and building codes by preparing preliminary engineering review reports to substantiate ...

MANUFACTURING ENGINEER

Dublin, GA ยท On-site

$62.20K - $80.20K/yr

YKK AP America provides employees with a comprehensive benefits package designed to provide the ... Corresponds with management, engineering, and other staff regarding manufacturing capabilities ...

MANUFACTURING ENGINEER

Dublin, GA ยท On-site

$62.20K - $80.20K/yr

YKK AP America provides employees with a comprehensive benefits package designed to provide the ... Corresponds with management, engineering, and other staff regarding manufacturing capabilities ...

Prepares project specific analysis for YKK AP products to be used for compliance with construction documents and building codes by preparing preliminary engineering review reports to substantiate ...

Prepares project specific analysis for YKK AP products to be used for compliance with construction documents and building codes by preparing preliminary engineering review reports to substantiate ...

MANUFACTURING ENGINEER

Dublin, GA ยท On-site

$62.20K - $80.20K/yr

YKK AP America provides employees with a comprehensive benefits package designed to provide the ... Corresponds with management, engineering, and other staff regarding manufacturing capabilities ...

MANUFACTURING ENGINEER

Dublin, GA ยท On-site

$62.20K - $80.20K/yr

YKK AP America provides employees with a comprehensive benefits package designed to provide the ... Corresponds with management, engineering, and other staff regarding manufacturing capabilities ...

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Ap Engineering information

See salary details

$46.5K

$146.9K

$174K

How much do ap engineering jobs pay per year?

As of Jun 4, 2026, the average yearly pay for ap engineering in the United States is $146,868.00, according to ZipRecruiter salary data. Most workers in this role earn between $116,500.00 and $173,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an AP (Accounts Payable) Engineer, and why are they important?

To thrive as an AP Engineering professional, you need a solid understanding of accounting principles, financial processes, and accounts payable best practices, typically supported by a degree in finance, accounting, or a related field. Familiarity with ERP systems like SAP or Oracle, and proficiency in Excel and invoice processing tools, are usually required. Strong attention to detail, analytical thinking, and effective communication skills help you manage high volumes of transactions and collaborate across departments. These skills are crucial for ensuring accurate financial records, timely payments, and supporting overall organizational financial health.

What are the main challenges faced by AP (Accounts Payable) Engineers, and how can they effectively overcome them?

AP Engineers frequently encounter challenges such as managing high volumes of invoices, ensuring timely payments, and maintaining accuracy in financial records. They must also stay up-to-date with compliance regulations and coordinate closely with procurement and finance teams. Effective use of automation tools and clear communication with vendors and internal departments can help streamline processes and reduce errors. Building strong organizational skills and staying proactive about resolving discrepancies are key strategies for success in this role.

What are AP Engineers and what do they do?

AP Engineers, or Accounts Payable Engineers, are professionals responsible for managing and processing a company's outgoing payments and financial obligations. They ensure that invoices are accurately reviewed, approved, and paid on time, while also reconciling accounts and maintaining financial records. AP Engineers often collaborate with vendors, procurement teams, and internal departments to resolve discrepancies and streamline payment processes. Their role is crucial in maintaining the financial health and credibility of an organization.

What is the difference between Ap Engineering vs Electrical Engineering?

AspectAp EngineeringElectrical Engineering
Required CredentialsTypically requires a diploma or bachelor's in engineering or related fieldBachelor's or higher in electrical engineering or related discipline
Work EnvironmentPrimarily in manufacturing, assembly lines, or automation settingsIn labs, design offices, or power plants
Industry UsageCommon in electronics manufacturing, automation, and appliance industriesWidespread across power, electronics, and communication sectors

Ap Engineering and Electrical Engineering share overlapping skills and credentials, but Ap Engineering focuses more on appliance design, manufacturing, and automation, while Electrical Engineering covers a broader range of electrical systems, power distribution, and circuit design. The choice depends on your career interests in specific industry sectors.

More about Ap Engineering jobs
What states have the most Ap Engineering jobs? States with the most job openings for Ap Engineering jobs include:
Machine Learning Engineer

Machine Learning Engineer

Associated Press

Manhattan, NY โ€ข On-site

$145K - $180K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 7 days ago


Job description

The Associated Press is an independent global news organization dedicated to factual reporting. Founded in 1846, AP today remains the most trusted source of fast, accurate, unbiased news in all formats and the essential provider of the technology and services vital to the news business. More than half the world's population sees AP journalism every day.
Why this role matters:
The ML Engineer is a new role within the AP Engineering organization, responsible for shaping how we build and scale machine learning systems at AP, helping to lay the foundation for our machine learning capabilities. The ML Engineer has hands-on experience building and optimizing ML inference systems that run in production environments. This role will develop and tune pipelines that transform millions of photos, videos, and text documents into searchable representations using a combination of deep learning models (e.g., DistilBERT, SBERT, TransNetV2) and external multimodal APIs. The ideal candidate has experience optimizing inference at scale, orchestrating ML workloads, and working with both PyTorch and TensorFlow in a cloud environment, focusing on model performance, integration patterns, and inference efficiency.
This is an individual contributing role who will report directly to our Director of Development, Enterprise Application Services.
What you will do:
  • Design, build, and scale ML-powered inference systems that process large volumes of text, image, and video data to power news-based intelligence products.
  • Productionize and optimize state of the art models and inference pipelines. These models include, but are not limited to:
    • DistilBERT for Named Entity Recognition (NER) over hundreds of thousands of search queries/day
    • TransNetV2 for video shot boundary detection at scale for archival video as well as real-time
    • SBERT for embedding generation from textual descriptions
    • External multimodal APIs for image/video captioning
  • Support hybrid search architectures by defining embedding/re-ranking interfaces, evaluation metrics, and inference performance requirements; partner with search/platform engineers on index configuration, sharding, and cluster tuning.
  • Design and implement scalable data processing pipelines across hybrid CPU/GPU environments to handle millions of media assets.
  • Partner with MLOps and platform engineering to enable the deployment and operation of ML systems reliably, contributing to:
    • Distributed inference architectures
    • Cloud-based execution (e.g., AWS EC2, Batch, Lambda, SageMaker)
    • Efficient resource utilization across workloads
  • Optimize inference latency and throughput across distributed workloads using cloud-based resources (AWS EC2, Batch, Lambda, SageMaker, etc.)
  • Build resilient asynchronous processing systems for large-scale workloads, ensuring:
    • Reliability (retries, fault tolerance)
    • Efficiency (caching, deduplication)
    • Observability (metrics, logging, traceability)
  • Work closely with data scientists and product teams to iterate on models, improve performance, and deliver measurable impact in production.

Who you are:
  • 8+ years of experience building production ML inference systems.
  • Demonstrated ownership of deep-learning inference optimization in production (quantization, distillation, compilation, kernel/profile-level performance work) for transformer NLP and/or CV models.
  • Experience with both TensorFlow (SavedModel, tf.data, XLA, TFLite) and PyTorch (TorchScript, ONNX, FastAPI/TorchServe)
  • Hands-on experience optimizing inference pipelines on AWS infrastructure, ideally across different types of media assets.
  • Experience with video frameworks/tools (e.g., FFmpeg), and working with large-scale frame-level inference.
  • Demonstrated experience monitoring and debugging model latency, memory, and pipeline throughput.
  • Experience with hybrid search architectures (BM25 + vector search + cross-encoder reranking).
  • Familiarity with OpenAI APIs or other foundation model providers.
  • Familiarity with open source HuggingFace LLMs.
  • Experience with data pipeline and workflow orchestration tools (e.g., Airflow)

Who This Role is Not For:
Candidates whose primary background is MLOps platform work (e.g., DAG orchestration, Terraform, Kubernetes administration, generic CI/CD pipelines) will not be a fit. We are looking for a senior level engineer who has experience profiling a transformer, rewriting its serving path for a 2-3x latency reduction, tuning an HNSW index, and can tell us which SageMaker instance type will hit our p95 target at the lowest cost.
Why join us:
  • A mission-driven, inclusive environment focused on both individual and collective success.
  • Opportunities for professional development to help you reach your career goals.
  • Access to tools, mentorship, and resources tailored to elevate your proficiency and contributions.

Salary & Benefits:
The anticipated salary range for this position is $145,000 - $180,000 based on a candidate's skills, qualifications and location. The Associated Press offers comprehensive benefits, which include:
  • Competitive medical, dental and vision coverage
  • Retirement benefits
  • Company paid life insurance
  • Paid vacation and sick days
  • Paid parental leave for any new parent
  • Mental well-being resources

AP seeks to build an inclusive organization grounded in respect for differences. We support all aspects of diversity and provide equal employment opportunities to all employees and applicants without regard to race, color, religion, sex, marital status, national origin, age, sexual orientation, gender identity, disability, status as a veteran, or other characteristic protected by law.