Principal Data Science Engineer (1 year relevant experience required)

Job Description:Are you interested in empowering Arm’s engineering teams to create products using the power of machine learning and statistics?Are you passionate about working in a team that thrives on creativity, innovation, and diversity?

Arm is using Machine Learning and Data Science techniques to empower our engineers to make data-driven decisions and is building automated workflows that enable our engineers to deliver more complex products.Based in the “Machine Learning for Verification” (ML4V) team in Arm’s Productivity Engineering group, this role will enable you to directly impact Arm’s engineering processes and will help improve future generations of Arm-based technology used by 70% of the world’s population.

As a Senior ML Engineer, you will be working across Arm engineering workflows ensuring that our solutions are optimized and delivering maximum value.You will be part of a highly interdisciplinary team that deliver compute, data science, research, and engineering.You will be responsible for productizing data pipelines and models and deploying them into a production environment so that they deliver the maximum value to our teams.Because we have such a diverse team, with many areas of speciality, there will be opportunities to mentor and coach, as well as to develop your own knowledge and understanding.

Our technical stack leverages open-source python libraries, using distributed compute across on-prem and cloud environments.

Responsibilities:● Building and optimising ML processes across the whole ML lifecycle, from proof-of-concept to production● Writing and deploying scalable and resilient solutions● Collaborating with our diverse teams including Verification engineers and data scientists● Communicating your work to technical and non-technical collaborators.

Required Skills and Experience:● Demonstrable experience using python to deploy and run machine learning processes in a production environment.● Demonstrable knowledge of statistics and machine learning (eg, Dimensionality Reduction, Hypothesis Testing, Imputation, Clustering methods, Tree Based Algorithms, Neural Networks)● Experience with Data Science and Machine Learning Frameworks (e.g Pandas, Scikit-Learn)● Experience with Cloud platforms like AWS, GCP, Azure.● Experience with software development & CICD processes: (Git, testing, releasing code)● Comfortable working within a Linux environment

“Nice To Have” Skills and Experience:● A master or PhD degree in a relevant field, such as computer science, physics, statistics, maths etc● Experience working with imbalanced datasets.● Experience with distributed compute using pyspark● Experience with Databases (no-sql, sql)● Experience serving models through a service orientated architecture● Experience with Serving ML models in a streaming environment.● Experience mentoring andor coaching colleagues.

In Return:Arm is a global, diverse organization of dedicated, innovative, and highly capable people.We believe great ideas come from a vibrant and inclusive workplace where everyone can grow, succeed, and share their outstanding contributions!You will join a multi-cultural team with varied skills and experience.You will have access to a huge variety of technologies and systems to learn and will be supported every step of the way!

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Accommodations at ArmAt Arm, we want our people to Do Great Things. If you need support or an accommodation to Be Your Brilliant Self during the recruitment process, please email note, by sending us the requested information, you consent to its use by Arm to arrange for appropriate accommodations.All accommodation requests will be treated with confidentiality, and information concerning these requests will only be disclosed as necessary to provide the accommodation.Although this is not an exhaustive list, examples of support include breaks between interviews, having documents read aloud or office accessibility.Please email us about anything we can do to accommodate you during the recruitment process.

Hybrid Working at ArmArm’s approach to hybrid working is designed to create a working environment that supports both high performance and personal wellbeing.We believe in bringing people together face to face to enable us to work at pace, whilst recognizing the value of flexibility.Within that framework, we empower groupsteams to determine their own hybrid working patterns, depending on the work and the team’s needs.Details of what this means for each role will be shared upon application.In some cases, the flexibility we can offer is limited by local legal, regulatory, tax, or other considerations, and where this is the case, we will collaborate with you to find the best solution.Please talk to us to find out more about what this could look like for you.

Equal Opportunities at ArmArm is an equal opportunity employer, committed to providing an environment of mutual respect where equal opportunities are available to all applicants and colleagues.We are a diverse organization of dedicated and innovative individuals, and don’t discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.