Oportun Logo

Oportun

Sr. Staff ML Engineer (R11464)

Job Posted 8 Days Ago Posted 8 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

5 Days Ago
Remote
2 Locations
Senior level
Senior level
Big Data • Fintech • Information Technology • Business Intelligence • Financial Services • Cybersecurity • Big Data Analytics
As a Machine Learning Engineer, you will design and implement machine learning algorithms for predictive analytics in a production setting, working with large datasets on computing clusters. You will extract and analyze data, provide insights to stakeholders, and mentor junior team members.
Top Skills: C/C++PythonR
Yesterday
Remote
8 Locations
Senior level
Senior level
Information Technology • Software • Consulting
As an AI/Machine Learning Engineer, you will design and implement applications centered around Generative AI, deploying large language models in cloud environments and collaborating with cloud architects and developers. Proficiency in Python is essential, alongside knowledge of cloud AI services and machine learning frameworks. You will also address customer problems and present your work effectively.
Top Skills: JavaPythonRRustScala
4 Days Ago
Remote
IND
Senior level
Senior level
Artificial Intelligence • Information Technology • Software
As a Senior Machine Learning Engineer at Zoom, you'll develop and deploy ML models, optimize scalable models, mentor engineers, and collaborate with architects to enhance the ML ecosystem, directly impacting sales and customer satisfaction.
Top Skills: JavaPython

What you need to know about the Hyderabad Tech Scene

Because of its proximity to leading research institutions and a government committed to the city's growth, Hyderabad's tech scene is booming. With plans to establish India's first "AI city," the city is on track to become one of the world's most anticipated tech hubs, with companies like TransUnion, Schrödinger and Freshworks, among others, already calling the city home.
By clicking Apply you agree to share your profile information with the hiring company.

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account