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Dave, a forward-thinking company in the financial tech sector, is actively seeking an experienced and passionate Senior Machine Learning Platform Engineer. This role is rooted in the company's commitment to operationalize machine learning to better serve their users.
As a Senior Machine Learning Platform Engineer, the candidate will be instrumental in the design and development of the infrastructure essential for deploying machine learning models at scale. This role emphasizes collaboration and the creation of robust, scalable systems that align with Dave’s mission of leveling the financial playing field for its members. Responsibilities will include:
Driving technical decisions and making architectural choices that prioritize scalability and code maintainability.
Conducting code reviews to enforce high standards for code quality and system reliability, as well as mentoring fellow engineers through constructive feedback.
Exhibiting a deep understanding of the existing Machine Learning Platform, its architecture, and codebase, while advising on improvements.
Actively identifying and communicating potential technical risks and issues within the systems in place.
Providing precise engineering estimates for complex projects, ensuring clarity in assumptions made.
Leading technical design discussions and collaborating with stakeholders, working to deeply understand product decisions and strategic roadmaps.
Improving team processes to enhance the quality and velocity of output.
Participating in the onboarding process for new team members and playing an active role in hiring practices.
Candidates interested in applying for this role should possess:
A Bachelor's degree in Computer Science or a related technical field, with advanced degrees (MS or PhD) in Computer Science or Machine Learning considered a plus.
A minimum of 5 years of professional software development experience focusing on backend or infrastructure engineering.
Proven expertise in Python and a solid understanding of the end-to-end Machine Learning lifecycle, along with common frameworks such as Scikit-learn, PyTorch, and TensorFlow.
Extensive experience in building and operating large-scale, high-availability distributed systems, preferably in cloud environments like GCP or AWS.
Familiarity with workflow orchestration tools such as Airflow and large-scale data processing frameworks such as Apache Spark or Beam.
Proficiency in SQL and familiarity with database technologies, including Snowflake and non-relational query languages, is highly favorable.
A demonstrated ability to lead complex technical projects from conception to production.
A collaborative mindset with the ability to architect sustainable, reliable solutions that are well documented.
Experience with MLOps, including productionizing ML models, is a positive attribute.
Dave promotes a virtual-first work culture that allows team members the flexibility to work from various locations. While this role is open to candidates in Ontario and British Columbia, they maintain a commitment to diversity and inclusion in their workforce. Dave emphasizes a culture of empowerment, transparency, and resourcefulness, reflecting their core values.
Team members enjoy a supportive workplace where they can tackle significant challenges and learn from each other while striving to help millions of individuals achieve their personal financial objectives. This collaborative approach fosters an environment where team members feel valued and encouraged to express their contributions.
Dave offers a competitive salary range of CA$116K to CA$174K, which is reflective of the candidate's skills and experience. In addition to salary, the company provides an array of benefits:
Premium medical, dental, and vision insurance plans.
Flexible working hours to enhance work-life balance.
Generous paid parental and caregiver leave.
Contribution to 401(k) plans with matching options to encourage saving for the future.
Access to financial wellness support and advisory services.
Flexible paid time off (PTO) and holidays, including special observances like Juneteenth and an extended Winter Break.
Opportunities for in-person events to foster team-building and networking, along with numerous virtual events throughout the year.
This role is ideal for a skilled engineer passionate about machine learning and ready to make a meaningful impact in the tech-financial landscape. Dave encourages potential applicants who may feel hesitant about meeting all requirements to apply, emphasizing that passion for the role and alignment with their mission are equally important as formal qualifications. Those interested in contributing to an inclusive, innovative environment focused on making financial services more equitable are encouraged to apply.
This job offer was originally published on himalayas.app
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