Lead AI/ML Engineer, Speakap
Social platform and digital workplace for workforces
Be an early applicant
Social platform and digital workplace for workforces
21-100 employees
Be an early applicant
21-100 employees
Company mission
Speakap's mission is to make the corporate world one where people and organizations work as one, providing tools to connect employers and workers, ultimately boosting engagement and productivity.
Role
Who you are
- 5+ years of experience in AI/ML engineering, with a proven track record of shipping production-ready features (ideally SaaS)
- MSc in Computer Science, AI, Machine Learning, or a related field
- Hands-on experience with LLMs, prompt design, and model integration (e.g., via Amazon Bedrock)
- Strong Python skills and familiarity with standard AI/ML libraries (e.g., PyTorch/TensorFlow, Hugging Face, scikit-learn, Pandas, NLP libraries)
- Solid software engineering foundations: APIs, testing, CI/CD, version control (Git), etc
- Experience with AWS, especially Amazon SageMaker for training, deployment, and MLOps. Familiarity with other AWS AI services (e.g., Bedrock, Comprehend) is a plus
- A pragmatic builder mindset, balancing innovation with practical application and rapid value delivery
- Excellent communication and collaboration skills, particularly within cross-functional teams
Desirable
- Experience mentoring or training engineers in AI/ML practices
- Background applying AI/ML in human-centric domains like HR Tech, Employee Experience (EX), or Customer Experience (CX)
- Familiarity with agile product teams and rapid iteration cycles
What the job involves
- Reports to: VP of Engineering
- As we scale, we’re building a dedicated AI team — and we’re looking for a founding Lead AI/ML Engineer to take the reins
- This role embodies aspects ranging from Applied Scientist to ML Engineer. In this hands-on, high-impact role, you’ll shape our AI strategy, drive rapid experimentation, build and ship intelligent features, and mentor engineers as we integrate AI into the core of our platform
- Own the AI technical direction and lead end-to-end development and delivery of AI features — from experimentation to production deployment and monitoring
- Work hands-on with large foundation models (e.g. GPT, Claude, DeepSeek), handling everything from prompt engineering fine-tuning to integration (e.g. via Amazon Bedrock)
- Identify opportunities for, and potentially lead the development of, custom models where off-the-shelf solutions fall short
- Establish and refine MLOps pipelines and practices using tools like Amazon SageMaker and other AWS services
- Collaborate with product managers and engineers to turn ideas into high-impact, user-facing features
- Actively mentor and upskill engineers transitioning into AI/ML, fostering a collaborative, practical, learning-focused culture and sharing best practices with patience and empathy
- Contribute to a strong, scalable engineering foundation in close alignment with our VP of Engineering, who’s focused on operational excellence and high-performance delivery
Our take
Consistent communication between frontline and office workforces is essential for an enterprise to thrive, and digital tools and platforms are often used to make this happen. However, when attempting to provide tools for communication, task management, onboarding and more, software stacks quickly become convoluted, fragmented, and frustrating.
Speakap develops a digital workplace for frontline and office workers to collaborate on, particularly focussing on integrating all essential tools within the same place in the form of a social media platform. The platform provides features for many scenarios such as task management, scheduling and onboarding, but also facilitates integration with existing tools such as Salesforce, Office 365 and Workday.
Whilst the concept of creating a digital workplace to increase communication and engagement within enterprise workforces is nothing new, Speakap has taken a unique stance by focussing on accessibility. By combining the social media presentation of the platform with the all-in-one toolkit and external tool integration, the company has provided an end-to-end SaaS which ensures all scenarios can be handled within the same place, by any employee.
Freddie
Company Specialist at Welcome to the Jungle
Insights
-7% employee growth in 12 months
Company
Funding (last 2 of 5 rounds)
Mar 2018
$8.5m
SERIES B
Sep 2014
$0.7m
ANGEL
Total funding: $11.8m
Company benefits
- An international and open minded team
- Plenty of room for your own ideas
- Competitive salary
- Stock Plan & Pension Plan
- Hybrid work policy; you work at our social hub (the office), your home office or abroad (max 120 days per year)
- Regular drinks and other fun team events
- The latest MacBook and a budget for home office
- Opportunities for personal and professional development at our Speakap Academy (company training days & personal development budget)
Company HQ
Midtown West, New York, NY
Leadership
Patrick van der Mijl
(Founder & CEO)Graduated with a Bachelor's degree in Business Administration, Management, Economics, and Law from the University of Applied Sciences. Co-founded Speakap as co-CEO in 2011.
Erwin van der Vlist
(Sales Professional)Experience as Assistant Manager for Plus Postma from 2003 to 2010. Co-founded Speakap in 2011 as co-CEO.
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