Jobs / The***
Machine Learning Engineer
The*** · New York, NY, United States
Visa sponsorship details are locked. Unlock company name and apply link with .
New York, NY, United States145,000-180,000 USD/yearlyHybrid
Remuneration
145,000-180,000 USD/yearly
Location
New York, NY, United States
Visa sponsorship
Sponsors visa
Job summary
The*** 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.
Benefits
The anticipated salary range for this position is $145,000 - $180,000 based on aWhich include:Competitive medical, dental and vision coverageRetirementCompany paid life insurancePaid vacation and sick daysPaid parental leave for any new parentMental well-being resourcesAP seeks to build an inclusive organization grounded in respect for differences.
Qualifications
- The ML Engineer has hands-on experience building and optimizing ML inference systems that run in production environments.
- 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:
Responsibilities
- 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.
- 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
Degrees
Associate
Industry
EnergyInsuranceMedia
Company size
EnterpriseSmb