Senior Machine Learning Engineer

Job not on LinkedIn

🔥 17 hours ago

Apply Now
Find Similar Remote Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Logo of Clearview AI

Clearview AI

11 - 50 employees

Founded 2017

🤖 Artificial Intelligence

🔐 Security

🏛️ Government

Artificial Intelligence • Security • Government

Clearview AI is a U. S. -based company that develops and provides facial recognition software and investigative tools used primarily by law enforcement, government agencies, and the military. Its platform matches images against a very large proprietary database to accelerate suspect identification, criminal investigations, victim recovery, and national security operations, and the company emphasizes accuracy, scalability, and security/compliance for public-sector customers.

📋 Description

• Build, train, evaluate, and deploy computer vision and multimodal models, taking them from early prototype through to production • Design systems that infer structured attributes and spatial context from imagery, combining learned models with geometric and heuristic reasoning • Train and fine-tune models on large, diverse real-world image datasets, and build the pipelines to curate and label that data at scale • Work with vision-language models (VLMs) and build rigorous evaluation frameworks to measure their accuracy on our tasks • Develop and benchmark high-performance image retrieval capabilities with embedding models and vector indexing strategies • Optimize models for inference latency and throughput using techniques like distillation, quantization, and GPU acceleration • Read current research, prototype novel algorithms from academic literature, and turn promising ideas into reliable production code • Implement efficient, scalable data pipelines and inference infrastructure • Develop high-performance tooling in ML and data engineering • Additional duties and responsibilities as reasonably required by the employee’s supervisor or CEO

🎯 Requirements

• Experience building, training, evaluating, and deploying ML models in production • Strong experience using PyTorch, JAX, or other deep learning frameworks to develop and optimize models • Strong software engineering ability to build and maintain complex systems and work with large-scale datasets • Ability to solve open-ended problems and quickly learn new domains • Comfort operating with significant ownership and autonomy, making pragmatic trade-offs between model sophistication, velocity, inference and business constraints • BS, MS, or PhD in Computer Science or a related technical field, or equivalent practical experience • Nice to have: Experience inferring structured, real-world attributes from images • Experience training models on large-scale, real-world image datasets • Familiarity with vision-language models (VLMs) • Ability to digest academic literature, prototype novel algorithms, and bridge the gap between research and production code • Experience building LLM or VLM pipelines and the evaluation frameworks to measure their performance • Experience in an ML role at a growth-stage startup • Publications in major ML or computer vision conferences (e.g., CVPR, ICML, ICCV, WACV)

🏖️ Benefits

• Medical, Dental, Vision, STD and LTD Plans • FSA - Medical and Dependent Care • EAP and wellness programs • 13 Paid Holidays • Unlimited PTO • Flexible work environment - 100% remote • 401(k) plan

Apply Now

Similar Jobs

🕒 Yesterday

Revionics, an Aptos Company

51 - 200

🛒 Retail

🤖 Artificial Intelligence

☁️ SaaS

Senior ML Engineer designing and developing end-to-end AI & ML systems for Revionics. Collaborating within a skilled team to drive innovative solutions in retail pricing.

AWS

Cloud

Google Cloud Platform

Python

SQL

🕒 Yesterday

Zigsaw

11 - 50

Sr. Software Engineer building machine learning and AI systems for tvScientific's CTV advertising platform. Handling real-time bidding, model training, and campaign optimization tasks.

AWS

Python

Rust

Scala

Spark

SQL

🕒 Yesterday

NBCUniversal

10,000+ employees

📱 Media

Deep Learning Engineer implementing core algorithms in NBCUniversal. Work on 2D and 3D media datasets using deep learning and computer vision techniques.

Python

Unix

🕒 Yesterday

Vertical Relevance

51 - 200

💸 Finance

💳 Fintech

Agentic AI/Machine Learning Consultant delivering ML/AI solutions for clients using AWS and GCP services. Collaborating with teams and mentoring while focusing on customer success.

AWS

Azure

Google Cloud Platform

Python

🕒 Yesterday

Amgen

10,000+ employees

🧬 Biotechnology

💊 Pharmaceuticals

🔬 Science

Senior Machine Learning Engineer developing and deploying ML solutions at Amgen. Collaborating with teams to optimize performance and deliver results in biotech.

Airflow

AWS

Azure

Cloud

Docker

Google Cloud Platform

Kubernetes

Python

PyTorch

Scikit-Learn

Tensorflow