Senior ML Engineer
Posted:
12/19/2024, 11:39:44 PM
Location(s):
San Francisco, California, United States ⋅ New York, United States ⋅ California, United States ⋅ New York, New York, United States ⋅ Massachusetts, United States ⋅ Boston, Massachusetts, United States
Experience Level(s):
Senior
Field(s):
AI & Machine Learning
Workplace Type:
Remote
About Smartcat
Smartcat is on a mission to become the wall-to-wall Language AI platform, addressing the diverse needs in multilingual content for various user personas within global enterprises.
Smartcat is uniquely positioned within the $100+ billion multilingual content industry, which is currently served by tens of thousands of agencies. This results in a highly fragmented and inefficient supply chain, high costs, unacceptable turnaround times, and quality issues. Using highly qualified internal resources to translate or create multilingual content (insourcing) solves the quality problem for enterprises, but if done manually, it can't solve for scalability, high cost, and slow turnaround.
Smartcat changes the ROI equation in favor of insourcing with its Language AI platform for enterprise end-users. It delivers high-quality, instantaneous AI translations or generates new content in any language by tapping into a customer-specific multilingual content library. The AI output is further refined through human editing by the client's internal reviewers or experts from the Smartcat's embedded global marketplace of linguists and content editors. This AI output continuously improves through the editing feedback loop, ensuring consistent and customer-tailored results.
More than 1,000 global companies including ~20% of the Fortune 1,000 trust Smartcat to communicate their innovations and ideas all over the world.
As a dynamic Series C company, Smartcat is growing at 130% YoY, thanks to the high and quick ROI it delivers to global enterprises. It's well-funded by notable VCs, and is capital efficient, offering a unique blend of hyper-growth potential with downside protection and the capacity for long-term planning and strategy.
Mission
As a Machine Learning Engineer, you will be at the forefront of advancing our platform’s computer vision capabilities. Leveraging your expertise in machine learning including data curation, pipeline development, and model monitoring, you will deliver high-performance solutions that power critical features for our growing client base.
The ideal candidate possesses a broad range of expertise in machine learning (data labeling, training pipeline development, and model deployment/maintenance), as well as strong engineering skills. In this role, you will tackle complex challenges across our computer vision (CV) projects and play a key part in driving innovation by contributing to our cutting-edge Image and Video Translation products.
Requirements
- Expertise in Computer Vision: experience delivering end-to-end CV projects (e.g., detection, segmentation, analysis, OCR, classification, video processing).
- Foundational ML Skills: familiarity with classical ML techniques (e.g., clustering, boosting).
- ML Lifecycle Knowledge: deep understanding of a machine learning project lifecycle.
- Python Engineering: experience developing and maintaining Python microservices and libraries.
- Ownership & Decision-Making: ability to work independently within a designated scope.
Key Responsibilities
- Data Management: Coordinate data labeling efforts and curate high-quality datasets.
- Model Development: Design, develop, and optimize ML training pipelines.
- Deployment: Prepare models for production and contribute to deployment processes.
- Monitoring & Maintenance: Oversee production models, ensuring proper performance through monitoring, fine-tuning, and troubleshooting.
Our technologies
- ML: Python, Pytorch, Weights & Biases, Label-Studio
- Databases: MongoDB, PostgreSQL, Elasticsearch
- Messaging Queue: Apache Kafka
- Cloud Provider: Amazon AWS
- Monitoring & Logging: ELK (EFK), Prometheus, Grafana
Why joining Smartcat might be your best move so far
- Fully remote team
We are a global team of 200+ enthusiastic people spread across 30+ countries. We have been fully remote since 2020, with some locations populated with more Smartcaters than others, such as Boston, NYC, SF, the Bay Area, London, and Lisbon. - Innovating a $100 Billion industry
Smartcat’s innovative approach towards multilingual content, taps into a $100B industry. Our platform enables enterprise end users to stop using traditional outsourcing methods, and start enjoying an easy-to-use, AI-powered SaaS, that delivers immediate high-quality results, at a fraction of the cost. - High impact role enabling innovation and inclusion in organizations
You will enjoy building with us. You will drive changes in how an old-fashioned global language industry operates while improving how hundreds of thousands of people work and millions of people exchange knowledge and ideas worldwide. - Join the rocketship to scale-up 10x and beyond together
We are looking for someone to become an integral part of our team and play a crucial role in the most exciting part of our journey: transitioning from a post-Series C startup to a company exceeding $100M in ARR and $1B in valuation. Our journey isn’t for the faint of heart. We are growing at 130% YoY, thanks to our strong product-market fit and high-performing team, and plan to accelerate from here. - Smartcat Culture: Where Diversity Meets High Performance
At Smartcat, we are committed to building a culture that highlights respect and appreciation for each individual's unique background and perspective, while maintaining a strong focus on results and clear, honest and direct communication. We believe in welcoming everyone and fostering an inclusive environment where team members can be their authentic selves at work. Our commitment to diversity and inclusion is steadfast, and we stand firmly against discrimination and harassment.
Smartcat
Website: https://www.smartcat.com/
Headquarter Location: Cambridge, Massachusetts, United States
Employee Count: 101-250
Year Founded: 2016
IPO Status: Private
Last Funding Type: Series B
Industries: Information Technology ⋅ Software