Senior Machine Learning Engineer, Invoca
$160-252k
Salary only applicable to US based candidates + Bonus Potential + Stock Options
More information about location
AI-powered conversation intelligence platform
Open for applications
AI-powered conversation intelligence platform
201-500 employees
Open for applications
$160-252k
Salary only applicable to US based candidates + Bonus Potential + Stock Options
More information about location
201-500 employees
Company mission
To enable revenue teams to turn conversation data into automated action to enhance every digital touchpoint and human interaction, leading to better experiences, more conversions, and higher revenue.
Role
Who you are
- 5+ years of professional experience in ML Engineering or a related area of AI/data science engineering
- Advanced proficiency in Python, deep learning frameworks (e.g., PyTorch, TensorFlow), data and ML libraries (e.g., spaCy, Pandas, Matplotlib), and implementation and optimization of deep learning architectures (Transformer, LSTM, CNN, etc.),
- Advanced proficiency building and deploying NLP and deep learning models in production environments
- In-depth understanding of deep learning, NLP and foundational ML concepts
- Hands-on experience with building, training and optimizing production ready LLM and various categories of deep learning architectures
- Solid understanding of Reinforcement learning; hands-on experience of RL techniques with LLMs or unstructured environments is a plus
- Advanced proficiency in using APIs and frameworks for managed and self-hosted model serving (e.g. Ray/AnyScale, AWS Sagemaker/Bedrock (or other cloud vendors), TGI, vLLM) to build, host, scale, and optimize model serving
- Intermediate proficiency with MLOps tooling (e.g. Kubeflow, MLFlow, etc.), LLM Observability, and practices including CI/CD for ML models, monitoring, and maintenance
- Intermediate proficiency working with the Databricks platform (e.g. Unity Catalog, Model Serving, Job/Compute, Deltalake) (or similar platform) for data engineering and analytics tasks
- Basic proficiency with big data technologies and frameworks (e.g., Spark, Hadoop)
- Basic proficiency with conversation intelligence concepts and challenges (e.g., speech recognition, speaker diarization, intent classification)
- Bachelor's Degree or equivalent experience required
- An advanced degree is a plus
What the job involves
- Invoca offers a unique opportunity to make massive contributions to machine learning and data science as it applies to conversation intelligence, marketing, sales and user experience optimization
- Train, fine-tune, and deploy machine learning models within an API-driven environment, ensuring scalability, efficiency, and optimal performance
- Design and implement modeling, training, optimization techniques for deep learning models
- Design and implement production-ready pipelines for adapting foundation models to domain-specific use cases
- Develop robust model serving architectures that effectively integrate LLMs with enterprise systems
- Implement monitoring and evaluation frameworks to ensure model quality and reliability in production
- Extend and enhance the architecture of Invoca's model training infrastructure and pipelines
- Develop and maintain MLOps, and CI/CD pipelines specific to machine learning artifacts
- Troubleshoot and resolve production issues related to ML systems
- Work closely with data platform team members to translate research models into production-ready systems
- Partner with product engineering teams to understand requirements and deliver ML solutions on behalf of our customers
- Support diversity, equity, and inclusion initiatives at Invoca
- At Invoca, our Machine Learning (ML) Engineers benefit from mentorship provided by experts spanning our data science, machine learning, engineering, and architecture teams
- Our dedicated data platform team is at the forefront of leveraging a blend of cutting-edge technology, including our proprietary and patented solutions, along with tools from leading vendors, to develop an exceptionally scalable data modeling platform
- Our overarching objective is to seamlessly deliver models through our robust API platform, catering to both internal stakeholders and external clients
- Your pivotal role will focus on optimizing model accessibility and usability, thereby expediting model integration within our feature engineering teams
- Ultimately, this streamlined process ensures swift model adoption, translating to enhanced value for our customers
Our take
Invoca is an AI-powered call tracking and conversational analytics platform enabling marketing, sales, customer experience, and eCommerce teams to better understand and immediately act on information consumers share via conversations, revealing exactly which campaigns are performing and delivering high returns on investments.
The company is a market leader in AI-powered conversation intelligence, serving leading consumer brands in considered purchase industries like automotive, telecommunications, healthcare, financial services, and real estate. It has continued to add new new capabilities throughout the years since its 2008 founding, to further help brands drive more efficient marketing, faster revenue growth, and better experiences in an increasingly challenging economy.
Through funding raised from several investment organisations, including Silver Lake Waterman and Kingfisher Investment Advisors, the startup has now been branded a Unicorn and is in a prime spot for further growth. Its priority has been to invest in product innovation through both organic development and acquisitions. Also, its recent arrival on Google Cloud Marketplace marks a milestone in the company's growing collaboration with Google, allowing joint customers to power more effective media strategies even more easily as they strive for revenue growth.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
5% employee growth in 12 months
Company
Funding (last 2 of 7 rounds)
Jun 2022
$83m
SERIES F
Oct 2019
$56m
SERIES E
Total funding: $199.8m
Company benefits
- Paid Time Off - 20 days off for all full-time employees, plus 15 paid holidays, 10 days compassionate leave, 3 days volunteer time and more
- Medical, Dental and Vision Coverage
- Mental Well-being & Employee Assistance Program
- Paid Family/Medical Leave - up to six weeks 100% paid leave for baby bonding, adoption, and caring for family members, and up to twelve weeks 100% paid leave for one’s own medical leave
- Invacation (Sabbatical) - an additional week of PTO along with a bonus after seven years of service
- Wellness Subsidy - for gym membership, fitness classes, etc.
Company HQ
Santa Barbara Downtown, Santa Barbara, CA
Leadership
Colin Kelley
(Co-Founder & CTO)Previously worked as the CTO at CallWave and as a Software Architect at Unisys / Pulsepoint.
Rob Duva
(Co-Founder)Co-Founder of Fin & Field. Previously worked at CallWave in multiple roles, including Senior Product Manager and the Director of Customer Acquisitions.
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