ML Engineer - Inference
United States
Symbl.ai
Elevating the quality of human life through every conversation
ML Engineer - Inference
Location: United States
Experience: 5 years
About the Team:
At Symbl.ai, our team is dedicated to revolutionizing the field of Conversation AI. We are a collaborative and innovative group, pushing the boundaries of what's possible in AI-driven communication technologies.
About the Role:
As an ML Engineer specializing in Inference at Symbl.ai, you will play a key role in the development and optimization of our Nebula large language model, as well as other Conversation AI projects. You will be responsible for implementing and deploying deep learning models to enable efficient and accurate inference in real-time communication scenarios.
Highlights for ML Engineer - Inference:
Joining Symbl.ai as an ML Engineer focused on Inference offers the opportunity to work on cutting-edge technologies in the Conversation AI space. You will be at the forefront of shaping the future of communication with our innovative product, Nebula, and other exciting projects.
Working as an ML Engineer - Inference, you will:
- Design and implement efficient algorithms and models for real-time inference in Conversation AI applications, with a focus on Nebula.
- Collaborate with cross-functional teams to integrate machine learning models into production systems, ensuring scalability, reliability, and performance.
- Optimize and fine-tune machine learning models for resource-constrained environments, such as edge devices or cloud-based platforms.
- Develop monitoring and evaluation mechanisms to assess the performance and effectiveness of inference models in real-world scenarios.
- Stay updated on the latest advancements in machine learning inference techniques and methodologies, incorporating new approaches into our projects as needed.
- Contribute to the documentation and dissemination of best practices for implementing and deploying machine learning inference solutions.
To excel in this role, you should:
- Possess a strong background in machine learning, with hands-on experience in developing and deploying inference models in production environments.
- Demonstrate proficiency in Python and relevant machine learning frameworks such as TensorFlow or PyTorch.
- Have experience with optimization techniques for machine learning models, including quantization, pruning, and model compression.
- Exhibit strong problem-solving skills and the ability to troubleshoot and debug complex technical issues related to inference.
- Possess excellent communication and collaboration skills, with the ability to work effectively in a remote team environment.
- Show a passion for learning and staying updated on advancements in machine learning inference technologies, with a keen interest in applying these technologies to Conversation AI.
- Be experienced in fundamental libraries for accelerating ML workflows, like CUDNN/TensorRT, ROCm, OpenVino, or OpenPPL. Understanding of one or more ML communication frameworks like NCCL is an advantage.
Please Note: Although we have focused centers in Seattle, WA there are no restrictions on where you can be located for this role - Symbl is fully remote.
Benefits and Perks (US)
- 100% covered health coverage for you, and 90% for your loved ones
- 100% covered Life & AD&D, and short-term disability coverage for you
- 401(k) with 3% matching
- Continued education and professional development.
- We are aggressive with our goals and hence speed with predictability are critical when it comes to execution. Symbl’s fixed leave policy of 18 Planned vacation days, 8 sick days, generous maternity, paternity and 16 annual holidays - are carefully curated to deliver on those core company values.
About Symbl.ai
We are a venture-funded AI startup building conversational AI since 2018; and the journey of building safe, secure and business-ready AI to solve problems in communication experiences informs a lot of the decisions we make about how we build our technology. Symbl is a developer-first platform whose core mission is to bring understanding and generative AI to every business that relies on understanding human conversations, and give machines the ability to comprehend communications better than humans. We believe this will transform how businesses think about their knowledge and will accelerate the various use cases where unlocking unstructured data for business use cases generates ROI at scale.
We obsess about a great developer experience for all our products, the business-readiness of the AI we build, and pride ourselves in bringing state-of-the-art Large Language Models (LLMs) to multi-modal multi-party conversations.
As an organization, we firmly believe in equal opportunity and do not engage in any form of discrimination based on race, religion, national origin, gender, sexual orientation, age, veteran status, disability, or any other legally protected status. We are committed to maintaining a diverse and inclusive work environment where every individual is respected and valued for their unique contributions.
How to Apply: Email with your cover letter including any relevant links to Github or your recent publications to careers@symbl.ai. We look forward to getting to know you!
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Conversational AI cuDNN Deep Learning Excel Generative AI GitHub LLMs Machine Learning ML models Python PyTorch TensorFlow TensorRT Unstructured data
Perks/benefits: Career development Health care Parental leave Startup environment
More jobs like this
Explore more AI, ML, Data Science career opportunities
Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
- Open Data Science Intern jobs
- Open Lead Data Analyst jobs
- Open Data Engineer II jobs
- Open Power BI Developer jobs
- Open Senior Business Intelligence Analyst jobs
- Open Data Science Manager jobs
- Open Marketing Data Analyst jobs
- Open MLOps Engineer jobs
- Open Junior Data Scientist jobs
- Open Data Scientist II jobs
- Open Business Intelligence Developer jobs
- Open Business Data Analyst jobs
- Open Product Data Analyst jobs
- Open Data Analytics Engineer jobs
- Open Data Analyst Intern jobs
- Open Sr Data Engineer jobs
- Open Principal Data Scientist jobs
- Open Sr. Data Scientist jobs
- Open Senior Data Architect jobs
- Open Data Engineering Manager jobs
- Open Junior Data Engineer jobs
- Open Big Data Engineer jobs
- Open Data Quality Analyst jobs
- Open Research Scientist jobs
- Open Azure Data Engineer jobs
- Open GCP-related jobs
- Open Java-related jobs
- Open Data quality-related jobs
- Open ML models-related jobs
- Open Business Intelligence-related jobs
- Open Data management-related jobs
- Open Privacy-related jobs
- Open PhD-related jobs
- Open Data visualization-related jobs
- Open Deep Learning-related jobs
- Open Finance-related jobs
- Open NLP-related jobs
- Open PyTorch-related jobs
- Open TensorFlow-related jobs
- Open LLMs-related jobs
- Open APIs-related jobs
- Open Generative AI-related jobs
- Open CI/CD-related jobs
- Open Snowflake-related jobs
- Open Consulting-related jobs
- Open Hadoop-related jobs
- Open Kubernetes-related jobs
- Open Data governance-related jobs
- Open Databricks-related jobs
- Open Airflow-related jobs