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You will be updated with latest job alerts via emailThe people at UiPath believe in the transformative power of automation to change how the world works. Were committed to creating categoryleading enterprise software that unleashes that power.
To make that happen we need people who are curious selfpropelled generous and genuine. People who love being part of a fastmoving fastthinking growth company. And people who careabout each other about UiPath and about our larger purpose.
Could that be you
As a Distinguished AI Engineer you will lead initiatives at the intersection of cuttingedge research and product innovation pushing the boundaries of machine learning applications in realworld scenarios. You will be a key figure in advancing our machine learning models optimizing them for performance and scalability and driving their deployment into production environments. We seek someone who is not only passionate about machine learning theory but also skilled in translating that theory into scalable efficient and reliable solutions that address complex problems at scale.
You will be responsible for driving the vision of machine learning advancements shaping the technical roadmap and mentoring a talented team of scientists and engineers. The ideal candidate has a proven track record of conducting and applying research with substantial practical impact and is adept at guiding teams to execute on largescale machine learning projects.
#LIMH1
Responsibilities:
Lead and innovate in the development and deployment of stateoftheart machine learning models to solve complex and largescale problems.
Design execute and oversee largescale experiments demonstrating strong experimental intuition and deep technical expertise.
Collaborate with crossfunctional teams including research scientists and engineers to scale model training and ensure smooth integration of new models into production environments.
Stay ahead of the latest research in machine learning and AI and strategically incorporate cuttingedge advancements into product solutions.
Ensure that machine learning solutions are accessible and userfriendly contributing to the design of humancomputer interfaces for model interaction.
Conduct performance benchmarks statistical analyses and evaluate the impact of researchbased optimizations on realworld problems.
Mentor and guide other applied scientists fostering a culture of continuous learning and innovation.
Communicate complex technical concepts and findings effectively across the organization influencing both technical and nontechnical stakeholders.
Qualifications:
Ph.D. or Masters degree in Machine Learning Computer Science or a related field.
Extensive experience (10 years) in applied machine learning with a proven ability to translate academic research into realworld applications.
Expertise in developing models using modern ML libraries such as PyTorch TensorFlow or JAX.
Proficient in multiple programming languages with a preference for Python and at least one other language (e.g. Rust C).
Deep understanding of machine learning architectures (including Transformers and other modern models) and experience scaling them to productionlevel systems.
Strong foundation in linear algebra probability statistics and algorithms.
Knowledge of GNU/Linux systems with experience in optimizing largescale distributed systems for machine learning workloads.
Strong publication record in toptier conferences (e.g. NeurIPS ICML ICLR) is a plus.
Exceptional leadership skills with the ability to inspire and mentor a team of researchers and engineers.
Ability to communicate and collaborate effectively across diverse teams and influence decisionmaking at the highest levels.
Preferred Skills:
Experience with large multimodal models and their practical applications.
Indepth knowledge of scalable infrastructure for machine learning including GPU clusters and cloudbased ML solutions.
Experience designing interfaces that make machine learning more accessible and intuitive for endusers.
Maybe you dont tick all the boxes abovebut still think youd be great for the job Go ahead apply anyway. Please. Because we know that experience comes in all shapes and sizesand passion cant be learned.
Many of our roles allow for flexibility in when and where work gets done. Depending on the needs of the business and the role the number of hybrid officebased and remote workers will vary from team to team. Applications are assessed on a rolling basis and there is no fixed deadline for this requisition. The application window may change depending on the volume of applications received or may close immediately if a qualified candidate is selected.
We value a range of diverse backgrounds experiences and ideas. We pride ourselves on our diversity and inclusive workplace that provides equal opportunities to all persons regardless of age race color religion sex sexual orientation gender identity and expression national origin disability neurodiversity military and/or veteran status or any other protected classes. Additionally UiPath provides reasonable accommodations for candidates on request and respects applicants privacy rights. To review these and other legal disclosures visit our .
Full-Time