Staff Software Engineer, AI/ML

Maven Clinic

New York (NY)

On-site

USD 120,000 - 160,000

Full time

14 days+

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Benefits offered by this job

Employer-covered health, dental, and insurance
16 weeks paid parental leave
Annual professional development stipend
401K matching

Job summary

Maven Clinic in New York, NY is seeking a staff level software engineer to lead the technical vision for their AI/ML Platform. The role includes designing, developing, and maintaining scalable systems while mentoring engineers. Candidates should have a minimum of 8 years of experience and a relevant degree. Benefits include generous PTO, wellness partnerships, and 401K matching. A commitment to diversity and equal opportunity is emphasized.

Qualifications

  • Minimum of 8 years of experience in backend development and ML/AI platforms.
  • Proven track record of building scalable and reliable systems.
  • Experience with data processing, feature engineering, and model evaluation.

Responsibilities

  • Lead the design, development, and maintenance of ML/AI platforms.
  • Propose and implement cloud-based solutions.
  • Mentor mid-level engineers.

Skills

Backend development
Platform architecture
ML/AI products
Cloud-based solutions
Problem-solving
Collaboration
Multiple programming languages (Python, Go, Java)

Education

Bachelor's or Master's degree in Computer Science or related field

Job description

About the Role

As a staff level software engineer at Maven Clinic, you will be responsible for driving the technical vision and roadmap for our AI/ML Platform, personalization and recommendation systems. You will lead the design, development, and maintenance of highly scalable, performant, and reliable systems that support the growing opportunities in our systems. You will work closely with cross-functional teams to ensure the delivery of high-quality products and features that meet the needs of our customers and adhere to Maven's quality standards.

Key Responsibilities
  • Lead the design, development, and maintenance of ML/AI related platforms and products.
  • Propose, design, develop and implement cloud-based solutions that ensure the agility, flexibility, and scalability of our systems.
  • Drive technical design discussions and provide guidance to team members on best practices, coding standards, and architecture principles.
  • Collaborate with and lead cross-functional teams to drive the development of new features and products, ensuring they meet the needs of our customers and adhere to Maven's quality standards.
  • Mentor and guide mid-level engineers, helping to develop their technical skills and cultivate a culture of continuous learning and improvement.
  • Identify and evaluate emerging technologies, tools, and trends that can drive ML/AI innovation and improve the efficiency and effectiveness of our engineering processes.
Qualifications
  • Bachelor's or Master's degree in Computer Science or related field, or equivalent experience.
  • Minimum of 8 years of experience in backend development, platform architecture and ML/AI platform or products, with a proven track record of building highly scalable, performant, and reliable systems with modern technologies.
  • Experience designing and implementing data intensive applications, end-to-end ML/AI products or features. Perform data processing, feature engineering, and model evaluation to ensure high-quality and accurate results. Deploy and maintain machine learning models in cloud platforms ensuring scalability and reliability.
  • Experience designing and implementing ML/AI framework and infrastructure by utilizing modern toolsets and ensuring efficiency.
  • Experience designing and implementing distributed systems including microservices architecture, containerization, and orchestration.
  • Proficiency in multiple programming languages (Python, Go, Java, etc.)
  • Experience leading technical design discussions and providing guidance on best practices, coding standards, and architecture principles.
  • Strong problem-solving and analytical skills, with a proven ability to deliver high-quality code and model in a fast-paced environment.
  • Excellent collaboration and communication skills, with a demonstrated ability to work effectively with cross-functional teams and mentor engineers.
  • Conduct research and stay up-to-date with the latest advancements in some ML/AI domain to ensure our solutions are cutting-edge.

At Maven we believe that a diverse set of backgrounds and experiences enrich our teams and allow us to achieve above and beyond our goals. If you do not have experience in all of the areas detailed above, we hope that you will share your unique background with us in your application and how it can be additive to our teams.

Benefits & Perks

We are reimagining what a supportive workplace looks like, from the inside out. On top of standards such as employer-covered health, dental, and insurance plan options, and generous PTO, we offer an all-of-you, inclusive approach to benefits:

  • Maven for Mavens: access to the full platform and specialists, including care for everything from mental health, reproductive health, family planning, pediatrics.
  • Whole-self care through wellness partnerships
  • Weekly breakfast, lunch, and get-togethers
  • 16 weeks 100% paid parental leave, flexible time upon return, and $1.5K/mo for 2 months, new parent stipend (for Mavens who've been with us at least six months)
  • Annual professional development stipend and access to a personal career coach through Maven
  • 401K matching for US-based employees (immediately vesting)

These benefits are applicable to Maven Clinic Co., US-based, full-time employees only. 1099/Contract Providers are ineligible for these benefits.

Maven is an affirmative action and equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. Maven is committed to providing access, equal opportunity and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities.

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