About Invoca

Commitment to our customers, collaboration, and continuous improvement in a positive environment are more than words written on a wall at Invoca, it’s our way of life. We take pride in an inclusive and egoless culture that helps us drive innovation and build value for both our customers and our people. And of course, there’s the competitive pay, great perks, and getting to work on an industry-leading product. If this sounds unlike most tech jobs you’ve had, you’re right. Come join us. We’re building something special.

About the Engineering Team

You’ll join a team where everyone, including you, is striving to constantly improve their knowledge of software development tools, practices, and processes. We are an incredibly supportive team. We swarm when problems arise and give excellent feedback to help each other grow. Working on our close-knit, multi-functional teams is a chance to share and grow your knowledge of different domains from databases to front ends to telephony and everything in between.

We are passionate about many things: continuous improvement, working at a brisk but sustainable pace, writing resilient code, maintaining production reliability, paying down technical debt, hiring fantastic teammates; and we love to share these passions with each other.

Learn more about the Invoca development team on our blog and check out our open source projects.

About the Role

Are you looking to work with smart people who are as committed to building great teams as they are to building great products? Invoca offers a unique opportunity to make significant contributions to machine learning and data science, particularly in conversation intelligence, marketing, sales, contact centers, and user experience optimization.

You are excited about this opportunity because you get to:

  • Research and build groundbreaking machine learning techniques by leveraging Bayesian methodologies, neural networks, regression models, and other state-of-the-art approaches.
  • Lead the adaptation and implementation of advanced machine learning techniques to solve customer problems.
  • Design and implement fine-tuning pipelines for adapting foundation models to domain-specific use cases.
  • Create efficient data collection and curation workflows for fine-tuning datasets.
  • Develop RAG architectures that effectively combine LLMs with enterprise knowledge bases.
  • Design comprehensive evaluation frameworks for fine-tuned models and RAG systems
  • Be at the forefront of applying generative AI techniques to conversational data.
  • Conduct independent research into the latest academic papers to develop innovative solutions for customer problems and to support various use cases within our product offerings.
  • Refine and advance the mathematical models and algorithms that power our core Bayesian engine.
  • Write and optimize code using our data science libraries and frameworks.
  • Provide mentorship and guidance to members of our data platform team, including data scientists, data engineers, software engineers, and product managers
  • Document and educate team members on analysis methodologies, models, assumptions, error measurements, data sources, transformations, and tools/processes used in the Invoca Data Science process.
  • Support diversity, equity, and inclusion initiatives at Invoca.

At Invoca, a Staff Data Scientist is an experienced individual contributor with a focus on solving technical machine learning challenges and mentoring other team members. Our dedicated data platform team leverages a blend of cutting-edge technology, including our proprietary and patented solutions and 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 quality and performance. Ultimately, the models we deliver are consumed directly by our feature engineering teams to deliver new data insights, translating to enhanced value for our customers.

About You

We are excited about you because you have:

  • 7+ years of professional experience or graduate-level coursework in data science, machine learning, statistics, physics, or a related field.
  • Advanced proficiency in applying machine learning techniques to real-world problems.
  • Advanced proficiency in Python, including expertise in data processing libraries (e.g., spaCy, Pandas), data visualization libraries (e.g., Matplotlib, Plotly), and familiarity with machine learning frameworks.
  • Intermediate proficiency implementing and evaluating fine-tuning approaches (LoRA, QLoRA, full fine-tuning)
  • Intermediate proficiency in using vector databases (e.g., Pinecone, Weaviate).  and embedding models for RAG systems
  • Intermediate proficiency with big data technologies and frameworks (e.g., Spark, Hadoop).
  • Intermediate proficiency working with the Databricks platform (e.g., Job/Compute, Delta Lake) or a similar platform for data analysis and model training tasks.
  • Intermediate proficiency in Bayesian statistics and its application to machine learning.
  • Basic proficiency with cloud platforms such as AWS, Google Cloud, or Azure.
  • An advanced degree in mathematics, statistics, physics, computer science, or equivalent professional experience.
  • Intermediate proficiency in C and C++ is a bonus but not required.

Salary, Benefits & Perks:

Teammates begin receiving benefits on the first day of the month following or coinciding with one month of employment. Offerings include:

  • Paid Time Off - Invoca encourages a work-life balance for our employees. We have an outstanding PTO policy starting at 20 days off for all full-time employees. We also offer 16 paid holidays, 10 days of Compassionate Leave, days of volunteer time, and more.
  • Healthcare - Invoca offers a healthcare program that includes medical, dental, and vision coverage. There are multiple plan options to choose from. You can make the best choice for yourself, your partner, and your family.
  • Retirement - Invoca offers a 401(k) plan through Fidelity with a company match of up to 4%.
  • Stock options - All employees are invited to ownership in Invoca through stock options.
  • Employee Assistance Program - Invoca offers well-being support on issues ranging from personal matters to everyday-life topics through the WorkLifeMatters program.
  • Paid Family Leave - Invoca offers up to 6 weeks of 100% paid leave for baby bonding, adoption, and caring for family members.
  • Paid Medical Leave - Invoca offers up to 12 weeks of 100% paid leave for childbirth and medical needs.
  • Sabbatical - We thank our long-term team members with an additional week of PTO and a bonus after 7 years of service.
  • Wellness Subsidy - Invoca provides a wellness subsidy applicable to a gym membership, fitness classes, and more.
  • Position Base Range - Salary Range $160,000 - $206,000/ plus bonus potential

This role is remote and open to candidates located in the United States and Canada. Please note that we are unable to provide visa sponsorship for this position.

DEI Statement

We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. We are proud to be an equal opportunity workplace.

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Diversity & Inclusion at Invoca (US)

“Our company is committed to creating a culture that is not only grounded in continuous learning, teamwork, and customer success, but is fair, equitable, and welcoming for everyone.” Gregg Johnson CEO

And to us, diversity and inclusion means even more than treating current employees well and making them feel welcome. It also means proactively hiring people who bring different insights because of their unique demographics, ways of thinking, and prior experiences.

We intend to continue hiring great people and protecting our culture so everyone can be themselves and speak their minds. That way Invoca will always be a place filled with laughter, energy, hard work, thoughtfulness and respect.

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