Lead AI/ML Engineer, Speakap
Employee experience platform for frontline workers
Job no longer available
Employee experience platform for frontline workers
21-100 employees
Job no longer available
21-100 employees
Company mission
To keep building, solving, and redefining what it means to work as one.
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
Company
Funding (last 2 of 5 rounds)
Mar 2018
$8.5m
SERIES B
Sep 2014
$0.7m
ANGEL
Total funding: $11.8m
Company benefits
- 26 Days of Paid Holidays
- Work Abroad Policy: Up to 90 days per year (subject to approval)
- Pension Scheme Support
- Flexible Working Hours
- Possibility to Get Stock Appreciation Rights (after 1 Year of Employment)
- Career Development Programs
- Team Outings & Company Events
- Complimentary Office Lunches and Snacks
- Office Commuting Allowance: NS Business Card or Travel Reimbursemenet
- Hybrid Work Model: Split Between Home and Office
- Focus Area in the Office
- New Hire Home Office Budget
- Referral Program Incentives
- Pet-Friendly Office Space
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.
Erwin van der Vlist
(Co-Founder)Prior to co-founding Speakap in 2011, Erwin was a Business Analyst for Strategy & Operations at Deloitte & Touche. They graduated from the VU Amsterdam with a MSc in Business Administration Finance.
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