About Parloa

Parloa’s mission is to make every customer conversation feel effortless for both customers and the companies serving them. As agentic AI accelerates, Parloans are shaping the foundation of a new era in customer experience, one where customer support is no longer transactions, but meaningful exchanges. It is not just a vision; Parloa has powered over ONE BILLION interactions between global enterprise brands and their customers, with companies like IKEA and Booking.com already deploying Parloa at scale. 

About the role:

As a Principal Applied Scientist at Parloa, you will define and drive our applied AI strategy across AI agents and Generative AI.

This is a highly hands-on and high-impact role at the intersection of research and production. You will explore, validate, and scale approaches that directly shape our product, from model evaluation and routing to agent behavior, memory, and context engineering, while defining how these systems should be measured, benchmarked, and improved across the industry.

Beyond execution, you will act as a technical leader: identifying opportunities, setting direction, and building the foundations of applied science at Parloa.

Areas of ownership:

• Define and lead applied AI initiatives across agent systems, LLM evaluation, and model optimization
• Own ambiguous problem spaces end-to-end: from framing and experimentation to production impact
• Design and implement evaluation & benchmarking frameworks, leveraging and challenging industry standards — and where needed, defining new ones
• Drive innovation in agentic systems, including topics like routing, memory, and context engineering
• Prototype and validate new approaches (e.g., model combinations, fine-tuning strategies, or open-weight models)
• Translate research into production-ready solutions, working closely with engineering teams
• Act as a technical authority and multiplier, mentoring others and shaping best practices
• Establish and lead the Applied Science guild, fostering knowledge sharing and raising the bar across teams
• Influence product and technical strategy, identifying where applied science can unlock the most value

Who you are:

• 12+ years of experience in Applied Machine Learning, Applied Science, or a related field, with a proven track record of delivering ML/AI systems in production
• Experience with agent-based systems or multi-step LLM workflows
• Strong recent experience working with LLMs and Generative AI systems, ideally in production environments
• Demonstrated ability to own and drive ambiguous problem spaces end-to-end—from problem framing to measurable impact
• Deep understanding of evaluation methodologies, benchmarking, and model performance analysis, including human-in-the-loop approaches
• Hands-on technical skills, with the ability to prototype, experiment, and ship solutions in collaboration with engineering teams
• Experience working on production systems, balancing speed, quality, and scalability
• Proven technical leadership and influence, with experience shaping direction, mentoring others, or driving cross-team initiatives
• Ability to operate at both strategic and execution levels, connecting long-term vision with day-to-day decisions
• Strong communication skills, with the ability to clearly articulate ideas and influence technical and non-technical stakeholders
• Evidence of broader impact (e.g., published work, open-source contributions, internal initiatives, or industry influence) is a plus

We know that great candidates don’t always meet every single requirement. If you’re excited about this role and believe you could make an impact, we encourage you to apply, even if your experience doesn’t perfectly match every qualification.

Nice to have

• Familiarity with model routing, fine-tuning, or open-weight models
• Background in human-in-the-loop evaluation or annotation systems
• Contributions to public research, blogs, or open-source projects

Our recruiting process:

Talent Acquisition → Technical Peer Interview → 360° Technical Interview Loop → Bar Raiser

Why Parloa?

We’re at the beginning of a new era in customer experience, one where AI doesn’t just respond, but understands, reasons, and takes action. We’re building agentic AI that enterprises trust with their most important customer moments: complex questions, high volumes, real stakes. When millions of people reach out to a brand, those interactions aren’t just support tickets; they’re defining experiences. We’re here to raise the standard: making every conversation seamless, intelligent, and genuinely helpful. If you care about shaping how businesses and customers connect at scale—and want your work to matter in real, everyday moments—this is where you do it.

At Parloa, ownership isn’t a buzzword; it means being accountable for outcomes, not just tasks. We operate in a category that’s evolving fast, where the bar is high, and the problems are complex. We hire people who think in solutions, communicate with clarity, and follow through. People who are comfortable making decisions, taking responsibility, and raising the standard for themselves and those around them.

We’ve grown beyond the earliest startup phase, but we’ve kept the intensity: fast execution, direct feedback, and a strong expectation to contribute meaningfully from day one.

Backed by leading global investors like General Catalyst, EQT Ventures, and Altimeter Capital, we’re scaling with a clear ambition: to become the global category leader in enterprise-grade conversational AI.

BEST WORK OF YOUR CAREER

Trade Republic is the largest savings platform in Europe - we operate in 17 countries, serving +10 million customers who trusted us with over 100B in assets. But we’re striving for more. 

We have a bold mission to empower everyone to build wealth with easy, safe, and free access to financial systems. You will have the opportunity to grow your career by collaborating with a team of outstanding talents and state of the art technology to build a lasting, positive future for millions.

WHAT YOU'LL BE DOING

Our Operations Platform team leads the development of automated workflows and tools for our Operations and Customer Support staff to achieve an amazing customer experience.
To achieve this, we recognise that data isn't just a resource - it's a cornerstone. In this role you will:

• Plan and execute the roadmap for your services together with the team
• Play a pivotal role in designing the architecture of your data products, ensuring they are scalable, robust, and synergistic with our existing platforms
• Research, build, test and deploy models - this is where you will spend most of your time. With a focus on team ownership, this gives a lot of time for our developers and data scientists to actually work technically instead of with process
• Once deployed, you will continue to oversee your products, monitoring their performance metrics and making data-driven adjustments as needed to optimise result 

WHAT WE'RE LOOKING FOR

• at least 5 years of end-to-end data science and software engineering experience, preferably in a dynamic environment with a modern tech stack
• Experience working in Operations, specifically significant experience in customer service automations
• Experience with applying a wide variety of machine learning techniques to business problems, particularly with tabular and natural language data
• Strong command of SQL, Python together with its scientific stack (numpy, pandas, matplotlib, scikit-learn)
• Good understanding of Software Engineering practices (e.g. test-driven development, OOP, CI/CD, etc.) and experience with productionizing ML products
• Recent hands-on experience in deploying and maintaining an AI agent/workflow powered by LLMs, using both low level SDKs (openai, anthropic, google-genai,..) and prompt engineering frameworks (llama-index, langchain, dspy, ..)
• General understanding of LLMOps principles, for evaluating, testing, versioning and experimenting prompts in staging and production (langsmith, langfuse, arize-phoenix, lunary, ..)

WHY YOU SHOULD APPLY NOW

Our culture rewards ownership, excellence, and high energy. We care deeply about outcomes and hold each other accountable - we’re here to win and fix one of the largest challenges Europeans face - closing the pension gap and democratising wealth. If this gets you fired up, reach out!

Speed is something we fight for every day at Intercom, and we believe Berlin is built for people who share that instinct. We are drawn to Berlin by its rare blend of deep technical talent and rich creative culture – all within a vibrant, globally connected city that’s close to our R&D hubs in Dublin and London. It’s a place where the best of the best technical talent thrive, and where people from around the world are eager to relocate and build ambitious products.

Our ambition is to hire 100 people in Berlin over the year ahead across engineering, AI, data science, product, and design. We believe this is the most exciting time to join, be the founding R&D talent in the region and make a lasting impact as we build the world's number one customer agent!

What's the opportunity? 

Intercom’s Machine Learning team is responsible for defining new ML features, researching appropriate algorithms and technologies, and rapidly getting first prototypes in our customers’ hands.

We are an extremely product focussed team. We work in partnership with Product and Design functions of teams we support. Our team's dedicated ML product engineers enable us to move to production fast, often shipping to beta in weeks after a successful offline test.

We are very passionate about applying machine learning technology, and have productized everything from classic supervised models, to cutting-edge unsupervised clustering algorithms, to novel applications of transformer neural networks. We test and measure the real customer impact of each model we deploy.

What will I be doing? 

• Identify areas where ML can create value for our customers

• Identify the right ML framing of product problems

• Working with teammates and Product and Design stakeholders

• Conduct exploratory data analysis and research

• Deeply understand the problem area

• Research and identify the right algorithms and tools

• Being pragmatic, but innovating right to the cutting-edge when needed

• Perform offline evaluation to gather evidence an algorithm will work

• Work with engineers to bring prototypes to production

• Plan, measure & socialize learnings to inform iteration

• Partner deeply with the rest of team, and others, to build excellent ML products

What skills might I need? 

• Broad applied machine learning knowledge

• 3-5 years applied ML experience

• Practical stats knowledge (experiment design, dealing with confounding etc)

• Intermediate programming skills

• Strong communication skills, both within engineering teams and across disciplines.

• Comfort with ambiguity

• Typically have advanced education in ML or related field (e.g. MSc)

• Scientific thinking skills

Bonus skills & attributes 

• Track record shipping ML products

• PhD or other experience in a research environment

• Deep experience in an applicable ML area. E.g. NLP, Deep learning, Bayesian methods, Reinforcement learning, clustering

• Strong stats or math background

• Visualization, data skills, SQL, matplotlib, etc.

Benefits 

We are a well treated bunch, with awesome benefits! If there’s something important to you that’s not on this list, talk to us! 

• Competitive salary, annual bonus and equity
• Regular compensation reviews - we reward great work!
• Generous paid time off above statutory minimum
• Generous family leave (maternity, paternity), to let you spend valuable time with your loved ones
• Hybrid working
• MacBooks are our standard, but we also offer Windows for certain roles when needed.
• Unlimited access to Claude Code and best-in-class AI tools; experimentation & building is encouraged & celebrated
• Fun events for Intercomrades, friends, and family!

 
We’re looking for a seasoned Data Scientist to architect the next generation of our campaign optimization systems. You will design and scale the logic that determines which users to target and which incentives to deploy to maximize investment efficiency. If you’re excited to apply Machine Learning and Causal Inference to drive global impact, join us!

 

 
 
With over 200 million users in 50+ countries, Bolt is one of the fastest-growing tech companies in Europe and Africa. And it's all thanks to our people.

We believe in creating an inclusive environment where everyone is welcome, regardless of race, colour, religion, gender identity, sexual orientation, national origin, age, or ability.

Our ultimate goal is to make cities for people, not cars. And we need your help on this mission!
 

 
 
You’ll own Bolt’s campaign optimization systems end-to-end, architecting the "brain" that determines how we allocate rider and driver incentives globally. As a Senior Data Scientist, you will be the driving force in elevating our technical standards, pioneering solutions that bridge the gap between academic research and product development. You will serve as a technical "North Star"—mentoring colleagues and setting the bar for rigorous, maintainable data products that directly shape the experience of over 200 million customers worldwide.
 

 
 
  

• Lead the technical vision for our campaign optimization roadmap, translating high-level objectives into data science products.
• Architect and deploy end-to-end uplift models and optimization systems that maximize our investment efficiency.
• Design and execute advanced experimentation frameworks to reliably measure campaign incrementality.
• Set the gold standard for technical excellence by championing rigorous statistical and engineering practices.
• Serve as a mentor and advisor on highly technical challenges.
• Partner with Product, Engineering, and Operations to identify opportunities and develop pragmatic solutions that solve intricate business problems.

 
 

• Pragmatic problem solver, able to work autonomously from research to production deployment.
• 5+ years of experience in applied ML; experience in a growth role (marketplace pricing or incentives) is a plus.
• Exceptional knowledge of ML, statistics with hands-on experience in causal inference/ML.
• Expert proficiency in Python and SQL.
• A natural mentor who enjoys leveling up those around you and can explain the "why" behind complex mathematical concepts.
   

 
Experience is great, but what we really look for is drive, intelligence, and integrity. So even if you don’t tick every box, please consider applying!
 

 
 

• Play a direct role in shaping the future of mobility.
• Impact millions of customers and partners in 600+ cities across 50+ countries.
• Work in fast-moving autonomous teams with some of the smartest people in the world.
• Accelerate your professional growth with unique career opportunities.
• Get a rewarding salary and stock option package that lets you focus on doing your best work.
• Enjoy the flexibility of working in a hybrid mode with a minimum of 3 days in the office each week to foster strong connections and teamwork.
• Take care of your physical and mental health with our wellness perks.
   

  *Some perks may differ depending on your location and role.

 
We’re looking for a seasoned Data Scientist to architect the next generation of our campaign optimization systems. You will design and scale the logic that determines which users to target and which incentives to deploy to maximize investment efficiency. If you’re excited to apply Machine Learning and Causal Inference to drive global impact, join us!

 

 
 
With over 200 million users in 50+ countries, Bolt is one of the fastest-growing tech companies in Europe and Africa. And it's all thanks to our people.

We believe in creating an inclusive environment where everyone is welcome, regardless of race, colour, religion, gender identity, sexual orientation, national origin, age, or ability.

Our ultimate goal is to make cities for people, not cars. And we need your help on this mission!
 

 
 
You’ll own Bolt’s campaign optimization systems end-to-end, architecting the "brain" that determines how we allocate rider and driver incentives globally. As a Senior Data Scientist, you will be the driving force in elevating our technical standards, pioneering solutions that bridge the gap between academic research and product development. You will serve as a technical "North Star"—mentoring colleagues and setting the bar for rigorous, maintainable data products that directly shape the experience of over 200 million customers worldwide.
 

 
 
    

• Lead the technical vision for our campaign optimization roadmap, translating high-level objectives into data science products.
• Architect and deploy end-to-end uplift models and optimization systems that maximize our investment efficiency.
• Design and execute advanced experimentation frameworks to reliably measure campaign incrementality.
• Set the gold standard for technical excellence by championing rigorous statistical and engineering practices.
• Serve as a mentor and advisor on highly technical challenges.
• Partner with Product, Engineering, and Operations to identify opportunities and develop pragmatic solutions that solve intricate business problems.

 
 

• Pragmatic problem solver, able to work autonomously from research to production deployment.
• 5+ years of experience in applied ML; experience in a growth role (marketplace pricing or incentives) is a plus.
• Exceptional knowledge of ML, statistics with hands-on experience in causal inference/ML.
• Expert proficiency in Python and SQL.
• A natural mentor who enjoys leveling up those around you and can explain the "why" behind complex mathematical concepts.
   

 
Experience is great, but what we really look for is drive, intelligence, and integrity. So even if you don’t tick every box, please consider applying!
 

 
 

• Play a direct role in shaping the future of mobility.
• Impact millions of customers and partners in 600+ cities across 50+ countries.
• Work in fast-moving autonomous teams with some of the smartest people in the world.
• Accelerate your professional growth with unique career opportunities.
• Get a rewarding salary and stock option package that lets you focus on doing your best work.
• Enjoy the flexibility of working in a hybrid mode with a minimum of 3 days in the office each week to foster strong connections and teamwork.
• Take care of your physical and mental health with our wellness perks.
   

  *Some perks may differ depending on your location and role.

WHO WE ARE

Parse Biosciences is a global life sciences company whose mission is to accelerate progress in human health and scientific research. Empowering researchers to perform single cell sequencing with unprecedented scale and ease, our pioneering approach has enabled groundbreaking discoveries in cancer treatment, tissue repair, stem cell therapy, kidney and liver disease, brain development, and the immune system.

Founded based on a transformative technology invented at the University of Washington, Parse has raised over $100 million and is used by over 3,000 labs across the world. Our growing portfolio of products includes Evercode Whole Transcriptome, Evercode TCR, BCR, Gene Capture, and a software tool for data analysis.

Parse Biosciences is based in Seattle, Washington's vibrant South Lake Union district, where we recently opened a 34,000 square foot headquarters and state-of-the-art laboratory.

THE POSITION

As a field application scientist at Parse Biosciences, you will act as the scientific liaison between the company and our customers. You will build long lasting relationships with researchers working at the cutting edge of biology in fields including neuroscience, immunology, development, and more. As a solutions provider, we partner with our customers to ensure they’re not only generating high quality data, but also designing their experiments in a way that will answer the questions they are asking and achieve the goals of their studies.

Parse offers the most scalable and flexible single cell sequencing solution on the market. Researchers are looking for guidance on how to best use our kits in order to accelerate their biological discovery. You will be responsible for working with various research groups to make sure they are educated on how our kits work, support them as they conduct the full workflow, and be available for follow up technical questions that may be asked.

In addition to customer facing discussions, you will also be responsible for communicating customer feedback to internal product teams to ensure we continue to build solutions best suited for our customers. You may also contribute to scientific presentations for technical demonstrations.

TERRITORY AND TRAVEL

The primary territory for this position includes Central and Northern Germany, as well as, Benelux. You can expect to be on site with customers approximately 50% of the time, and on site in our Seattle HQ 1 to 2 times per year. You will work closely with your customers to determine the optimal training format which can be virtual or on site with a duration of 1 to 3 days. Partnering with the Technical Sales Manager for your territory, you will have a great deal of control over your schedule and can organize your travel in a way that best suits you and your customers' goals.

IN THIS POSITION, YOU WILL

• Proactively communicate with customers to understand the goals and needs of their projects
• Provide technical guidance to customers on single cell experimental design
• Train and support new customers to ensure protocols are understood and followed properly
• Participate in pre- and post-sales activities to drive product adoption and revenue, strategically with your regional sales partners.  To include, but not limited to, delivering technical seminars/webinars, product workshops, and nurturing key accounts 
• Perform troubleshooting and provide assistance on customer experiments
• Work closely with product teams and contribute to customer facing technical documentation
• Collect feedback from current customers and communicate to product teams and management to help guide product development
• Keep up to date on the ever-evolving field of single cell genomics and relay observations of market shifts to management
• Deliver scientific presentations for internal or customer facing events

FOR THIS POSITION, WE LOOK FOR

• Experience in a customer-facing role for genomics products
• Advanced degree in molecular biology, genomics, or a related field or undergraduate degree with relevant experience
• Experience performing next generation sequencing library preparation
• Ability to effectively communicate technical details to a broad scientific audience
• Comfortable in a fast-paced startup environment
• Your residence is currently in Northern or Central Germany, or Benelux
• Be willing and able to travel as outlined above under “Territory and Travel” 
• Experience performing single-cell RNA-seq assays in a laboratory setting preferred
• Experience working with cell culture, tissue dissociation, cell sample preparation preferred
• Experience performing bioinformatic analysis with genomics datasets preferred

JOB CONDITIONS

• This position is home office based and will require a reliable internet connection and suitable workspace to fulfill job duties effectively. 
• Regular communication and collaboration with team members and customers will occur virtually through zoom meetings, instant messaging, and email. 
• Travel requirements: This position includes extensive travel, including customer sites, conferences, and meetings or training at the company headquarters in Seattle. Candidates should have the flexibility to accommodate travel requirements as needed.

 Parse Biosciences is proud to be an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, disability status, or any other status protected by federal, state, or local law.

As part of our commitment to fairness and inclusion, we do not use artificial intelligence or automated systems to screen job applications. Every application is reviewed by a member of our hiring team to ensure that hiring decisions are made thoughtfully and equitably.

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