Senior Machine Learning Engineer

Company Description

Welcome to the good side of tech 👋

You might have heard about us but with a different name: Znanylekarz. It all started 10 years ago when we asked ourselves: is anyone in healthcare thinking about patients? We jumped in and we empowered patients by giving them access to leave and read reviews about their visit . We then provided doctors with the technology to manage bookings easily and save time so they could devote themselves to what they always wanted: treating patients. And today is the day in which we ask you: wanna join us in the next step of making the healthcare experience more human?

Docplanner at scale

We are leaders in 13 countries so far and more than 90 million patients trust us every month. 280.000 specialists believe in us and our product and so do leading venture capital funds such as Point Nine Capital Goldman Sachs Asset Management and One Peak Partners. And yet employing over 2.900 people all over the globe we managed to keep the startup mindset we started with over 10 years ago.

How does Docplanner Tech fit here?

At Docplanner Tech we are a diverse group of ~325 people working in teams that include engineers designers product managers data and research. We are responsible for building the product for all locations. Taking care about talent matters to us that's why the engineering team has an amazing balance of new team members and people that have been in DP for years .

We could tell you about us but we will let our reviews on Glassdoor speak for themselves. In case you’d like to see how it feels to be 100% yourself at work here’s a video of us .

And why should you join us?

Because it feels good to tell your family and your friends how you made the world a little bit better. You go to bed knowing that what you do matters and that your talents align with your beliefs.

We want to make the healthcare experience more human and that starts with you being you. We believe that taking the diversity of human experience into account makes a better healthcare experience for all. We’re not just different: we embrace diversity. We will encourage you to come to work your whole self and that includes not coming to the office at all if you prefer not to as we're 100% remote-friendly.

Job Description

Area of Work

You will join our global Machine Learning  and Data Science unit - a core team of machine learning scientists (LLM ASR) engineers and an expanding group of country-specific linguists - embedded in the ever growing Noa product organization used daily by doctors in Brazil Mexico Poland Italy Spain and Germany. Noa.ai’s mission is to broaden access to top-quality healthcare first by lifting administrative burdens from clinicians and in the near future by assuming selected medical tasks. Our most famous product is Noa Notes which records consultations transcribes the audio and produces a structured draft of the medical record. By design we operate cross-functionally moving ideas from prototyping and rapid validation to full-scale production with state-of-the-art ML frameworks and modern MLOps practices. We begin with rapid validation sprints when engineers product managers and product developers work side by side on early experiments then centralise and consolidate proven capabilities standardizing validation methods and engineering best practices through shared tools frameworks and lifecycles.

Role

As a Senior Machine Learning Engineer in the Noa ML team you will take ownership of end-to-end ML capabilities within a product area in our Noa organisation. You will be expected to drive technical excellence champion best practices across the team and actively shape our evolving ML tech stack and workflows.. You will work alongside other machine learning professionals at various seniority levels and report directly into the Head of Machine Learning & Data Science.

Backed by a strong engineering culture we pair industry-leading ML rigor with pragmatic delivery making smart trade-offs to ship value quickly and iterate fast. In this role you’ll work alongside exceptional engineers scientists and other cross-functional leaders on one of Docplanner’s most strategic initiatives leveraging a cutting-edge tech stack to push the boundaries of AI in healthcare.

Our tech stack includes Python Pytorch Whisper FastAPI - among the others - running on Kubernetes in AWS.

What you will be doing

• Take technical leadership of ML initiatives working closely with scientists engineers and product stakeholders to deliver AI-driven solutions that directly support strategic business objectives..

• Design deploy and iterate over ML services for diverse data types (e.g. audio text) while proactively anticipating performance bottlenecks driving continuous improvements.

• Brainstorm and design technical roadmaps in partnership with the AI Platform team identifying and addressing platform and MLOps bottlenecks and designing scalable GPU optimization strategies that balance performance cost and reliability.

• Research architect and deploy LLM-powered information retrieval solutions (eg. RAG) to deliver accurate and scalable results in complex multilingual product environments; champion industry-leading frameworks and evangelize their adoption across the organization.

• Lead efforts to improve team effectiveness by evolving internal frameworks optimizing workflows and fostering a culture of operational excellence in collaboration with the AI Platform team.

• Architect deploy and maintain high-throughput reliable data pipelines to support training-set curation and data-annotation tooling.

Qualifications

• 5+ years of professional experience as an ML[Ops] Engineer in a fast-paced product-driven tech environment.

• Proven track record of delivering impactful ML initiatives in high-scale cross-functional and high-performance environments.

• Demonstrated expertise in production-grade MLOps leveraging for example  orchestration with Kubernetes model serving via FastAPI NVIDIA Triton and KServe Apache Airflow for data pipelines.

• Good understanding and proficiency in deep learning frameworks such as PyTorch or TensorFlow.

• Proven ability to integrate deploy and optimize large language models in production-grade industry environments ensuring scalability and robust performance. Knowledgeable in prompt engineering basis of agent‐based workflows and the generation and manipulation of embeddings.

• Problem-solving mindset and adaptability in dynamic environments with a focus on delivering business value to end customers.

• Strong collaboration and communication skills with a track record of influencing cross-functional stakeholders and aligning diverse teams around shared goals.

• Proven ability to manage timelines prioritize tasks and deliver results under tight deadlines.

• Experienced in mentoring and guiding other engineers fostering technical growth and promoting a high-performance team culture.

• Curiosity and eagerness to collaborate with cross-functional teams (e.g. product marketing engineering)

Additional Information

Let’s talk money

• A salary adequate to your experience and skills. The range is broad so that we can accommodate our roles for all levels of experience but we will show you the career ladder to explain where we see your skills and impact within the company'. Your salary will be now and always 100% transparent to you

• Share options plan after 6 months of working with us.

True flexibility and work-life balance

• Remote or hybrid work model with or hub in Warsaw;

• Flexible working hours (fully flexible as in most cases you only have to be on a couple of meetings weekly);

• 26 days of paid time off (depending on your contract);

• Additional paid day off on your birthday or work anniversary (you choose what you want to celebrate).

Health comes first

• Private healthcare plan with Signal Iduna for you and subsidized for your family.

• Multisport card co-financing for you to have access to sports facilities across Poland.

• Access to iFeel a technological platform for mental wellness offering online psychological support and counseling.

We promote and embrace equal opportunities in our hiring process and also every day at work. When you apply for our roles you receive equal treatment regardless of age disabilities gender reassignment marital or civil partner status pregnancy or parental status race colour nationality ethnic or national origin religion or belief sex sexual orientation or any other dimension of human difference.  If you require additional support in your recruitment process we kindly encourage you to let us know. Behind those words you’re reading there’s a person (hi!) who already helped a candidate by adapting the interviews and now we’re lucky to have this person with us. So even if you’ve never asked for it before may this serve as a sign that now you can do so. We can only truly be equal if we adapt to each other.

“We believe all humans in all their beautiful diversity should have equal rights dignity and respect. Period.” Mariusz Gralewski  CEO