ObserveAI

About Us

Observe.AI is the fastest way to boost contact center performance with live conversation intelligence. Built on the most accurate AI engine in the industry, Observe.AI uncovers insights from 100% of customer interactions and maximizes frontline team performance through coaching and end-to-end workflow automation. With Observe.AI, companies can act faster with real-time insights and guidance to improve performance, from more sales to higher retention.

Observe.AI is trusted by hundreds of customers and partners, including Pearson, Accolade, Group 1 Automotive, Southeast Trans, and Public Storage. Our recent $125 million Series C led by Softbank Vision Fund 2 with participation from Zoom Video Communications, Inc., brings our total funding to date to $213M, with investments from Menlo Ventures, Next47, NGP Capital, Emergent Ventures, Scale Ventures, Nexus Ventures, and Y-Combinator. For more information, visit www.observe.ai.

The Opportunity

If you are a talented and driven person with experience in the domain of Natural Language Processing/ Spoken Language Understanding and want to join a high-impact team at the core of Observe.AI's mission, then this role is for you! 

This is a highly challenging role that exposes one to state-of-the-art Machine Learning and Deep Learning algorithms in the domain of NLP and to the challenges of building a world-class ML platform in production. You will contribute to building industry-leading AI-powered products for Observe.AI leveraging the latest technologies in NLP and architecting/ implementing high throughput/ low latency/ scalable ML systems.

If you are excited about building and owning cutting-edge ML-powered product capabilities, and working on both algorithms as well as platforms, you’ll love the job!

What you will get to do:

• Design & develop state-of-the-art AI capabilities end-to-end from conception to production for Observe.AI’s product offerings, in a fast-paced startup environment.
• Work with cutting-edge tools and technologies in Machine Learning, Deep Learning & Natural Language Processing, including Large Language Models and related emerging technologies.
• Contribute to both ML modeling as well as building/ maintaining production systems that power AI capabilities on the product.
• Optimize ML models and processing pipelines for performance, cost-effectiveness, and scale
• Work with a world-class ML team in building exciting stuff, mentor juniors, and influence peers/ stakeholders.
• Collaborate cross-team with engineers, product managers, customer-facing teams, and customers to understand pain points and business opportunities to build the right solution for the right problem.
• Keep up-to-date with the latest ML/ DL/ NLP literature and influence the technological evolution of the Observe.AI NLP platform.
• Contribute to the community through tech blogs and publishing papers in ML/ NLP conferences like EMNLP, ACL, etc.

What we are looking for:

• Bachelor’s or Master’s degree in Computer Science or related disciplines from a top-tier institution with exposure to ML/ DL/ NLP.
• 5+ years of industry experience in building large-scale NLP systems.
• Strong understanding of the fundamentals of ML and NLP, and practical aspects of building ML systems in production; backed by extensive hands-on experience in building/ scaling customer-facing ML/ NLP applications.
• Good understanding of recent trends in NLP around transformers, language models, text classification, generative approaches for NLP, prompting techniques, question answering, information retrieval, etc.
• Excellent implementation skills in Python and Machine Learning Frameworks such as Pytorch, Tensorflow, HuggingFace, etc., and deploying/ maintaining machine learning models in production.
• Ability to provide thought leadership in one or more technical areas of interest to Observe.AI, and influence product development 
• Excellent communication, collaboration skills, and presentation skills.
• Experience with Spoken Language Understanding is a plus
• Published papers in top NLP conferences or workshops are a plus
• Relevant open-source contributions are a plus

About the ML Team

We are a strong 30+ member Machine Learning team with a focus on Speech and NLP. Our mission is to deliver the best of AI capabilities to revolutionize the world of Contact Centers through Observe.AI’s product offerings. We push the boundaries of Spoken Language Understanding to develop ML capabilities that power innovative product features for our customers, and our ML platform processes millions of contact center interactions per day. That said, we are a bunch of super fun folks to hang out with beyond work as well :-)

Compensation, Benefits and Perks

Excellent medical insurance options and free online doctor consultations

Yearly privilege and sick leaves as per Karnataka S&E Act

Generous holidays (National and Festive) recognition and parental leave policies

Learning & Development fund to support your continuous learning journey and professional development

Fun events to build culture across the organization

Flexible benefit plans for tax exemptions (i.e. Meal card, PF, etc.)

Our Commitment to Inclusion and Belonging

Observe.AI is an Equal Employment Opportunity employer that proudly pursues and hires a diverse workforce. Observe AI does not make hiring or employment decisions on the basis of race, color, religion or religious belief, ethnic or national origin, nationality, sex, gender, gender identity, sexual orientation, disability, age, military or veteran status, or any other basis protected by applicable local, state, or federal laws or prohibited by Company policy. Observe.AI also strives for a healthy and safe workplace and strictly prohibits harassment of any kind.

We welcome all people. We celebrate diversity of all kinds and are committed to creating an inclusive culture built on a foundation of respect for all individuals. We seek to hire, develop, and retain talented people from all backgrounds. Individuals from non-traditional backgrounds, historically marginalized or underrepresented groups are strongly encouraged to apply.

If you are ambitious, make an impact wherever you go, and you're ready to shape the future of Observe.AI, we encourage you to apply. For more information, visit www.observe.ai.

About Us

Observe.AI is the fastest way to boost contact center performance with live conversation intelligence. Built on the most accurate AI engine in the industry, Observe.AI uncovers insights from 100% of customer interactions and maximizes frontline team performance through coaching and end-to-end workflow automation. With Observe.AI, companies can act faster with real-time insights and guidance to improve performance, from more sales to higher retention.

Observe.AI is trusted by hundreds of customers and partners, including Pearson, Accolade, Group 1 Automotive, Southeast Trans, and Public Storage. Our recent $125 million Series C led by Softbank Vision Fund 2 with participation from Zoom Video Communications, Inc., brings our total funding to date to $213M, with investments from Menlo Ventures, Next47, NGP Capital, Emergent Ventures, Scale Ventures, Nexus Ventures, and Y-Combinator. For more information, visit www.observe.ai.

The Opportunity

If you are a talented and driven person who wants to join a high-impact team at the core of Observe.AI's mission, then this role is for you. This is a highly challenging role that will require the implementation of state-of-the-art Machine learning (ML) and Deep learning algorithms;

You will build a never-before-seen machine intelligence product and ML pipelines from scratch, architecting and implementing low latency systems at scale.

If you are excited about; owning & building a next-generation ML architecture and working on core algorithms, right from training to production, you’ll love the job!

What you’ll do day to day as a Lead ML Engineer

• If you are a talented and driven person who wants to join a high-impact team at the core of Observe.AI's mission, then this role is for you. This is a highly challenging role that will require the implementation of state-of-the-art Machine learning (ML) and Deep learning algorithms.
• You will build a never-before-seen machine intelligence product and ML pipelines from scratch, architecting and implementing low latency systems at scale.
• You will work on architecting the ML pipelines and deploy them at scale 
• You will optimize ML solutions for performance, scale and reliability
• You will work with large data sets and build an ML pipeline to process and train the data
• You will run ML experiments scientifically and analyzes the results
• You will work with the team in building exciting stuff and guide juniors in the process
• You will deploy solutions into production and maintain several models for fast experiments
• You will simply, own a module end-to-end and show us your data skills
• you will keep up-to-date with latest ML and deep learning literature to implement latest techniques into Observe.AI Voice & Speech platform.
• If you are excited about; owning & building a next-generation ML architecture and working on core algorithms, right from training to production, you’ll love the job!

What you’ll bring to the role

• Graduate/Post Graduate degree in Computer Science/Electrical Engineering from leading research institutes.
• Strong working experience in building Speech technologies like ASR, TTS, Diarization, and Speech signals
• Hands-on experience in building end-to-end models using the latest architectures.
• 6+ years of commercial experience in ML solutions and pipelines
• 6+ years of programming experience in Python, Shell scripting, and C/Java
• Hands-on experience in speech processing frameworks such as Kaldi, Espnet, Speech brain, etc.
• Experience with Machine learning and Deep learning libraries such as Scikit Learn, TensorFlow, or PyTorch

Some of the other coolest things you deliver

• A world-class Speech technology that has an impact on Customers and the research community
• Publish papers in International Speech and NLP conferences like Interspeech / Icassp / NIPS/ ASRU etc.
• Inter team coordination for research initiatives.

About the ML Team

We are a strong 25-member Machine Learning team with a focus on Speech, NLP, and Data platforms. Our main research focus is to drive the contact centers using AI which leads to improving operational efficiency, customer experience, and compliance. Our Machine Learning team pushes the boundaries in understanding the nuances in the conversation AI by processing millions of calls per day and empowering the call centers to improve efficiency.

The Speech team focuses on Speech Recognition, Speaker Diarization, and Speech Signals to understand the nuances in the behavior of the agents. The ML team is at the forefront of publishing our research in international conferences such as Interspeech, Icassp, ICML, and EMNLP AACL, and we encourage our research in the same.

Apart from work, the team loves to collaborate on research initiatives, present the initiatives/findings in internal/external tech conferences, participate in hackathons, and have formal/informal gatherings.

Compensation, Benefits and Perks

Excellent medical insurance options and free online doctor consultations

Yearly privilege and sick leaves as per Karnataka S&E Act

Generous holidays (National and Festive) recognition and parental leave policies

Learning & Development fund to support your continuous learning journey and professional development

Fun events to build culture across the organization

Flexible benefit plans for tax exemptions (i.e. Meal card, PF, etc.)

Our Commitment to Inclusion and Belonging

Observe.AI is an Equal Employment Opportunity employer that proudly pursues and hires a diverse workforce. Observe AI does not make hiring or employment decisions on the basis of race, color, religion or religious belief, ethnic or national origin, nationality, sex, gender, gender identity, sexual orientation, disability, age, military or veteran status, or any other basis protected by applicable local, state, or federal laws or prohibited by Company policy. Observe.AI also strives for a healthy and safe workplace and strictly prohibits harassment of any kind.

We welcome all people. We celebrate diversity of all kinds and are committed to creating an inclusive culture built on a foundation of respect for all individuals. We seek to hire, develop, and retain talented people from all backgrounds. Individuals from non-traditional backgrounds, historically marginalized or underrepresented groups are strongly encouraged to apply.

If you are ambitious, make an impact wherever you go, and you're ready to shape the future of Observe.AI, we encourage you to apply. For more information, visit www.observe.ai.