Machine Learning Engineer
BiorenderFull Time
Mid-level (3 to 4 years), Senior (5 to 8 years)
Key technologies and capabilities for this role
Common questions about this position
The salary range is EUR 3,800 - 5,400 gross for an employment contract and EUR 4,560 – 6,480 for a B2B contract, plus an equity grant of USD 15,100 - 38,000 in stock options over 4 years with a 1-year cliff.
The position is listed as on-site, though perks include remote work and flexible hours.
Required skills include proficiency in scripting languages such as Typescript, Python, and Ruby, along with experience building software applications ideally 4+ years, and working with NodeJS, Python services, and AI integrations like OpenAI.
Perks include remote work, flexible hours, strong work-life balance, clear opportunities for career growth, and more benefits available.
Strong candidates are mid to senior-level engineers with 4+ years of experience building software, great communication skills, ability to take ownership of features, contribute to technical decisions, and collaborate effectively.
Spend management platform using AI for businesses
Productiv offers a spend management platform designed for businesses to effectively manage their spending on various tools and services. The platform consolidates data, workflows, and team collaboration into a single source of truth, allowing businesses to make informed decisions about their expenditures. It operates on a subscription-based software-as-a-service (SaaS) model and utilizes artificial intelligence to enhance collaboration and provide insights. Key features include procurement capabilities that streamline the purchasing process while ensuring governance, visibility into asset usage, and automation of actions to achieve desired outcomes. Productiv also assists in managing renewals with smart recommendations and negotiation insights. The platform has demonstrated significant value, with clients reporting a return on investment of 3-4 times, highlighting the importance of data transparency and accessibility in spend management.