Oportun Logo

Oportun

Sr. Staff ML Engineer (R11464)

Posted 3 Days Ago
Be an Early Applicant
Remote
2 Locations
Expert/Leader
Remote
2 Locations
Expert/Leader
The Senior Staff ML Engineer will lead the implementation of ML infrastructure, mentor a team, collaborate with data scientists, establish best practices, architect deployment strategies, and optimize models for efficiency while integrating the latest technologies.
The summary above was generated by AI
ABOUT OPORTUN

Oportun (Nasdaq: OPRT) is a mission-driven fintech that puts its 2.0 million members' financial goals within reach. With intelligent borrowing, savings, and budgeting capabilities, Oportun empowers members with the confidence to build a better financial future. Since inception, Oportun has provided more than $16.6 billion in responsible and affordable credit, saved its members more than $2.4 billion in interest and fees, and helped its members save an average of more than $1,800 annually. Oportun has been certified as a Community Development Financial Institution (CDFI) since 2009.

 

WORKING AT OPORTUN


Working at Oportun means enjoying a differentiated experience of being part of a team that fosters a diverse, equitable and inclusive culture where we all feel a sense of belonging and are encouraged to share our perspectives. This inclusive culture is directly connected to our organization's performance and ability to fulfill our mission of delivering affordable credit to those left out of the financial mainstream. We celebrate and nurture our inclusive culture through our employee resource groups.

Responsibilities:

  • Set the strategic vision and lead the implementation of a cutting-edge ML infrastructure roadmap, encompassing all facets from model inception to deployment.
  • Provide exceptional technical leadership, mentoring, and guidance to a team of machine learning engineers, fostering a culture of continuous learning and innovation.
  • Collaborate closely with data scientists to translate intricate model requirements into optimized data pipelines, ensuring impeccable data quality, processing, and integration.
  • Spearhead the establishment of best practices for model versioning, experiment tracking, and model evaluation to ensure transparency and reproducibility.
  • Architect and execute model deployment strategies, harnessing containerization (Docker) and orchestration (Kubernetes) for exceptional scalability and reliability.
  • Engineer automated CI/CD pipelines that facilitate seamless model deployment, monitoring, and continuous optimization.
  • Define and refine performance benchmarks, and optimize models and infrastructure to achieve peak efficiency, scalability, and robustness.
  • Remain at the forefront of industry trends and emerging technologies, expertly integrating the latest advancements into our ML ecosystem.

 

Qualifications:

  • Requires 12+ years of related experience with a Bachelor's degree in Computer Science; or a Master's degree with an equivalent combination of education and experience.
  • Extensive experience orchestrating the development of end-to-end machine learning infrastructure for intricate and large-scale applications.
  • Proven record of transformative leadership, guiding technical teams to achieve remarkable outcomes and innovation.
  • Profound mastery of machine learning frameworks such as TensorFlow, PyTorch, or equivalent, coupled with Python programming.
  • Deep expertise in containerization (Docker) and orchestration (Kubernetes) for orchestrating complex machine learning applications.
  • Thorough comprehension of software engineering principles, version control (Git), and collaborative development workflows.
  • Adeptness with cloud platforms (AWS or Azure) and utilization of cloud-native services for crafting robust ML infrastructure.
  • Track record of successfully integrating DevOps practices, continuous integration, and continuous deployment (CI/CD) pipelines.
  • Superior problem-solving acumen and ability to navigate intricate technical challenges with dexterity.
  • Exceptional communication aptitude, capable of fostering effective collaboration across diverse teams and stakeholders.

 

If you are passionate about using your technical & ML expertise to drive social impact and financial inclusion, we invite you to join us in our mission at Oportun. Apply now to become a part of our dynamic team and make a difference in the lives of millions.

We are proud to be an Equal Opportunity Employer and consider all qualified applicants for employment opportunities without regard to race, age, color, religion, gender, national origin, disability, sexual orientation, veteran status or any other category protected by the laws or regulations in the locations where we operate.

 

California applicants can find a copy of Oportun's CCPA Notice here:  https://oportun.com/privacy/california-privacy-notice/.

 

We will never request personal identifiable information (bank, credit card, etc.) before you are hired. We do not charge you for pre-employment fees such as background checks, training, or equipment. If you think you have been a victim of fraud by someone posing as us, please report your experience to the FBI’s Internet Crime Complaint Center (IC3).

Top Skills

Python

Similar Jobs

7 Days Ago
India
Remote
11,000 Employees
Senior level
11,000 Employees
Senior level
Cloud • Information Technology • Productivity • Security • Software • App development • Automation
As a Senior Machine Learning Engineer at Atlassian, you will develop and implement cutting-edge machine learning algorithms, train complex models, and collaborate with teams to integrate AI features into Jira. Your role involves designing system architectures, conducting experiments, guiding junior engineers, and ensuring the practical application of AI within the product.
Be an Early Applicant
15 Hours Ago
IN
Remote
3,057 Employees
Senior level
3,057 Employees
Senior level
Artificial Intelligence • Financial Services
As a Senior Machine Learning Engineer, you will lead the development of advanced ML infrastructure, from model training to deployment, mentor junior engineers, and collaborate with teams to provide impactful solutions. Your expertise will drive architectural decisions and oversee critical projects, ensuring high-quality outcomes and efficient model deployment.
2 Days Ago
8 Locations
Remote
4,900 Employees
Senior level
4,900 Employees
Senior level
Fintech • Payments
As a Senior AI/ML Engineer, you will design, implement, and maintain machine learning algorithms and systems, collaborate with cross-functional teams, and integrate AI models into existing applications. You will advocate for best practices within the team while working in regulated environments, and ensure smooth operations by developing RESTful APIs and CI/CD pipelines.

What you need to know about the Chennai Tech Scene

To locals, it's no secret that South India is leading the charge in big data infrastructure. While the environmental impact of data centers has long been a concern, emerging hubs like Chennai are favored by companies seeking ready access to renewable energy resources, which provide more sustainable and cost-effective solutions. As a result, Chennai, along with neighboring Bengaluru and Hyderabad, is poised for significant growth, with a projected 65 percent increase in data center capacity over the next decade.

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account