Job Location: Austin, TX
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 compute, data science, and research
- Communicating your work to technical and non-technical stakeholders
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 & CI/CD 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 Dask/ pyspark
- Experience with Databases (no-sql, sql)
- Experience with Pipeline orchestration tools like Prefect/Airflow.
- Experience with Serving ML models in a streaming environment.
- Experience mentoring and/or coaching colleagues
In Return:
At Arm, we are guided by our core beliefs that reflect our rare culture and guide our decisions, defining how we work together to surpass ordinary and shape extraordinary:
Do great things
Working at pace, embracing challenges, finding a way
- Aim high, be courageous, take risks
- Find the balance between speed and perfection, whilst striving for excellence
- Be intentional in what you focus your time and energy on
- Adapt, be willing to change direction to improve the outcome
- Welcome the challenge and celebrate achievement
We, not I
Win together, not alone
- Co-create with our ecosystem, through listening and leadership
- Take accountability for your actions and support others’ decisions
- Include the right people at the right time in decision making
- Make the most of the skills and knowledge across Arm, share information with those who need it
- Care about the people around you
Be your brilliant self
Skillful individuality, performance and inclusion
- Push yourself to be the best version of you
- Create a safe environment for those you work with to reach their full potential
- Be curious and embrace differences
- Give people trust and autonomy; show people they can trust you to do great work
- Be thoughtful.
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform crucial job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
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