ML Solutions Architect

Symbl.ai; Remote; USD 130,000 - 160,000; Full time

Job summary

A leading AI startup is seeking an ML Solutions Architect to design and implement innovative machine learning solutions for their Conversation AI platform. This role involves collaborating with cross-functional teams and leading the development of scalable ML systems. The ideal candidate will have extensive experience in machine learning, strong programming skills, and a passion for advancing AI technologies. This is a fully remote position, allowing flexibility in work location.

Benefits

100% covered health coverage

401(k) with 3% matching

Continued education and professional development

18 Planned vacation days

8 sick days

Generous maternity and paternity leave

16 annual holidays

Qualifications

• Minimum of 10 years in ML engineering or software architecture.
• Expertise in ML algorithms and model development.

Responsibilities

• Design end-to-end ML pipelines for data ingestion and model training.
• Collaborate with teams to translate business requirements into ML architectures.

Skills

Problem Solving

Analytical Skills

Communication

Tools

Python

TensorFlow

PyTorch

Job description

Elevating the quality of human life through every conversation

Location: United States

Experience: 10+ years

About the Team:

At Symbl.ai, our team is a dedicated group of professionals passionate about advancing the field of Conversation AI. We collaborate closely to drive innovation and deliver exceptional solutions to our customers.

About the Role:

As an ML Solutions Architect at Symbl.ai, you will play a key role in designing and implementing machine learning solutions for our Conversation AI platform and our new product, the Nebula LLM. You will work closely with cross-functional teams to architect scalable and efficient ML systems that address complex business challenges.

Highlights for ML Solutions Architect:

Joining Symbl.ai as an ML Solutions Architect offers the opportunity to lead the design and implementation of cutting-edge machine learning solutions that are deployed in production. You will have the chance to work on exciting projects at the intersection of ML, Deep Learning, NLP, and Conversational AI, driving innovation and delivering impactful solutions to our customers.

Working as an ML Solutions Architect, you will:

• Collaborate with product management and engineering teams to understand business requirements and translate them into scalable ML architectures.
• Design end-to-end ML pipelines for data ingestion, feature engineering, model training, evaluation, and deployment.
• Implement state-of-the-art machine learning algorithms and models to address specific use cases in Conversation AI and Nebula product projects.
• Lead technical discussions and provide guidance on best practices for ML system design, ensuring scalability, reliability, and maintainability.
• Work closely with data engineers to optimize data pipelines and infrastructure for efficient model training and inference.
• Stay updated on the latest advancements in machine learning technologies and incorporate emerging techniques and frameworks into our ML solutions.
  
  

To excel in this role, you should:

• Possess a minimum of 10 years of experience in machine learning engineering or software architecture roles, with a focus on designing and implementing ML solutions.
• Demonstrate expertise in machine learning algorithms, model development, and evaluation techniques, with hands-on experience in building end-to-end ML systems.
• Have proficiency in programming languages such as Python and experience with ML frameworks like TensorFlow or PyTorch.
• Exhibit strong problem-solving and analytical skills, with the ability to tackle complex technical challenges and drive innovative solutions.
• Possess excellent communication and collaboration skills, with the ability to effectively interact with cross-functional teams and stakeholders.
• Show a passion for self-driven learning and staying updated on advancements in machine learning technologies, with a keen interest in applying them to Conversational AI and product development initiatives.

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 dependents.
• 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 [e-mail]. We look forward to getting to know you!

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