Machine Learning Engineer, Symbl.ai
Infrastructure and Operations
Real-time AI for human interactions
Open for applications
Real-time AI for human interactions
21-100 employees
Open for applications
21-100 employees
Company mission
To accelerate the growth of machines ability to understand human conversations better than human.
Role
Who you are
- Experience: 5 years to 10+ years
- If you are passionate about shaping the future of AI and machine learning infrastructure, we encourage you to apply and be a part of our journey
- Possess a strong background in machine learning, computer science, or a related field
- Have 5+ years of experience in building and deploying machine learning models in production environments
- Demonstrate proficiency in cloud computing platforms such as AWS, GCP, or Azure
- Have experience with containerization technologies like Docker and orchestration tools like Kubernetes
- Exhibit strong problem-solving skills and the ability to troubleshoot complex technical issues
- Possess excellent communication and collaboration skills to work effectively in a remote team environment
What the job involves
- In this role, you will play a pivotal part in our cutting-edge projects that drive AI innovation
- As a Machine Learning Engineer specializing in Infrastructure and Operations, you will play a crucial role in optimizing and scaling our AI systems for maximum performance and reliability
- We leverage a range of technologies, including but not limited to:
- Machine Learning Frameworks
- Cloud Computing Services
- DevOps Tools
- Containerization Technologies
- Distributed Systems
- Monitoring and Logging Solutions
- CI/CD Pipelines
- As a Machine Learning Infrastructure or Ops Engineer at Symbl.ai, you will architect and maintain a robust, scalable infrastructure, deploying and optimizing machine learning models while ensuring data security and compliance
- Architect and maintain robust and scalable machine learning infrastructure
- Collaborate with data scientists and engineers to deploy and monitor machine learning models
- Implement automated workflows for model training, validation, and deployment
- Optimize and fine-tune the performance of machine learning systems
- Ensure data security, privacy, and compliance within the machine learning infrastructure
- Troubleshoot and resolve infrastructure-related issues
- Contribute to the evaluation and adoption of new technologies and tools in the machine learning space
Our take
Data analytics has changed the way businesses operate - what customers buy, how often, what they nearly buy, etc. An individual’s online experience is full of data, telling a business what’s working, what’s not, and how they can change. But what’s much harder is to collate data from, say, a customer service phone call. That’s where Symbl comes in, with its conversation intelligence software.
Symbl boasts a hefty set of features, including topic and ‘sentiment’ recognition, automatic transcription (with identification of multiple speakers in over 30 languages), as well as question and answers analytics and keyword detection. It’s a thoroughly impressive package, with usages like data analysis from customer calls and performance reviews for customer support or sales teams.
Within the realm of human voice analysis, Symbl has impressive capabilities. But conversation intelligence is a market with other big players, like Gong or Chorus.ai. While Symbl’s features are technically more impressive than those of Gong, Symbl falls short on holistic analysis including SMS and email, which can provide a clearer picture. Symbl works well but has tough competitors to differentiate itself from.
Freddie
Company Specialist at Welcome to the Jungle
Insights
-6% employee growth in 12 months
Company
Funding (last 2 of 4 rounds)
Nov 2021
$17m
SERIES A
Dec 2020
$4.7m
EARLY VC
Total funding: $23.7m
Company benefits
- Health & Wellness: We provide the best national Medical, Vision & Dental coverage through Premera Blue Cross & ICICI Lombard to support you and your family’s health, every step of the way
- Retirement 401(k) Plan: Participate in our plan with a 3% contribution from Symbl to help secure your future
- Flexible Work & Lifestyle: Enjoy the flexibility to work remotely and choose your preferred co-working space. We value work-life balance and offer flexible working hours, supporting both your lifestyle and family needs
- Innovative Work Culture: Thrive in a fast-paced culture that encourages out-of-the-box thinking. Gain exposure to diverse roles and unique challenges
- Paid Time off: At Symbl, we believe in the importance of balance. Enjoy generous vacation, personal days, and public holidays to recharge
- Ownership & Autonomy: Engage in full-stack roles with high levels of responsibility and independence
Company HQ
Pike Pine Retail Core, Seattle, WA
Leadership
Toshish Jawale
(Co-Founder & CTO)Previously worked as a Software Engineer at Media Magic Technologies, was Co-founder of TimeNome, Co-Founder & CTO of upa.io, and was a Software Architect at Amdocs.
Surbhi Rathore
(Co-Founder & CEO)Former Software Engineer at Nevis Networks, and Software Development Team Lead at Amdocs. They are also currently an Ambassador for Women in AI and a Member of the Forbes Technology Council.
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