Syndio is hiring a

Senior Machine Learning Engineer

San Francisco, United States
Remote

Do you want to empower organizations to fairly and equitably hire, promote, retain and compensate their employees? Syndio is a Series-C technology company committed to fairness in the workplace. Fueled by investments of $83M from Bessemer Ventures, Voyager Capital and social change organization Emerson Collective, Syndio is investing in growing our team and products.

This is a critical moment when organizations are looking for ways to take tangible action to fight gender and racial bias, and we believe creating diverse and inclusive workplaces for all starts with workplace equity.

About the role

Are you driven to solve new problems with big data and technology? Do you love using your creativity and technical skills to build innovative solutions to make a meaningful impact? Are you passionate about building AI and data science into customer workflows to maximize the value of software? So are we!

In this role, you will be hands-on working within Data Science, ML, and LLMs. Your primary responsibility will be to evangelize these fundamentals across the company by engaging in technical discussions with engineering and business partners. You will contribute to innovation by bringing new ideas to the table and addressing challenging and unsolved problems. As a crucial part of the team, you will contribute to the growth of yourself and others through mentorship. Your focus will include modernizing ML infrastructure, creating new patterns for deploying AI solutions, scaling machine learning capabilities, and integrating math-based features into our product, all while working with smart and collaborative colleagues.

Join us in leveraging big data to foster more equitable workplaces, uncovering the root cause of bias in compensation and promotion policies, and scaling the expertise within our company using AI.

Why this job is exciting
  • Design, develop, and deploy ML algorithms and models, focusing on continuous improvement and integration.
  • Partner with data scientists to transform prototypes into high-performance production models.
  • Overhaul and upgrade the existing data science platform to ensure it's scalable, efficient, and up-to-date.
  • Utilize GCP tools, notably VertexAI and BigQuery, for deploying, monitoring, and scaling ML models.
  • Ensure the machine learning solutions are cloud-compatible and optimized for performance.
  • Apply knowledge of generative AI techniques to develop innovative solutions and features.
  • Stay updated with the latest advancements in generative AI and incorporate relevant ones into our platform.
  • Work closely with application engineers to integrate ML functionalities into apps and ensure seamless deployment of ML code in a production environment.
  • Implement best practices for version control, testing, and continuous integration/continuous deployment (CI/CD).
  • Design and implement complex big data ETLs to drive core functionalities of our products.
  • Locate and define new process improvement opportunities for our data products.
  • Implement responsible AI practices in every feature, including end-to-end observability.
About you
  • You are eager to learn, share knowledge and ideas, and grow with our team.
  • You want to own and drive initiatives within Syndio that leverage and build your skills and interests.
  • You assume positive intent, are humble and eager, expect the best from yourself, value partnership over perfection, and provide grace and understanding in stressful situations.
  • You value a remote work environment and know that it requires greater intentionality on your part to build and maintain strong working relationships.
  • Hands on experience building and deploying production-level code for SaaS.
  • You are an expert with Docker, Kubernetes, and scaling machine learning solutions.
  • Professional experience in machine learning engineering, data science, or a related role.
  • Advanced knowledge of Python and software development best practice.
  • Extensive knowledge of GCP tools, especially VertexAI and BigQuery.
  • Solid understanding of the complete machine learning development lifecycle.
  • Adept at working in a fast-paced, dynamic environment.
  • Bonus: experience building statistical models and deep understanding of math.
  • Bonus: experience in the HR tech space.
  • Bonus: experience deploying generative AI in a production environment.
Why you'll love it here:
  • Check out our Employee Experience page for more information on our Mission & Values, Work-Life Balance, Pay Transparency, Diversity, Culture, and Benefits. 
  • 💰 Competitive Compensation. For this role our salary is targeted at $151,000 -$177,000 per year. Final offer amounts are determined by factors such as experience and expertise. We take a geo neutral approach to compensation within the US, meaning that we pay based on job function and level, not location. 
  • 🏆  Syndio Equity. So you can share in Syndio’s success.
  • 🏝  Flexible Vacation Policy. We encourage our team to recharge when they need to, plus paid sick & safe time, compassion leave, and voting leave. 
  • :hatching_chick: 16 weeks of paid parental leave
  • 🩺  Medical, Dental, Vision. Syndio pays 90% of employee premiums, and 50% for dependents.
  • 🏥  Life Insurance & Disability. Syndio covers the full premium.
  • 🏦 401(k). To help you save for your future.
  • Fully remote model - #LI-Remote 

The interview overview

Below you'll find an outline of the interview plan for our Senior Machine Learning Engineer position. Please note that this is what we expect the process to look like; we may ask you for supplemental information or require an additional step before making a final decision.

  • 30 min interview with a member of our Talent Team
  • 30 minute zoom interview with the Hiring Manager
  • Two video interviews with Data Science & Product Management - 1.25 hours
  • A take-home assignment (This replaces live coding in further interviews)
  • A video interview with Engineers - 1 hour

At Syndio, we're building a diverse team that values candor, curiosity, and community. If you share these values and are interested in joining us, we'd love to talk with you even if you don't 100% meet the "about you" listed here. We don't expect anyone to have all the answers, as long as you're willing to learn and grow with us.

Employees joining the Syndio team at this early stage of growth will impact this critical social issue and support a growing customer base (including Nordstrom, General Mills, Match Group, and others) to take tangible action on workplace fairness. 

Syndio is an Equal Opportunity Employer. We are building an inclusive and collaborative workplace as we grow, and we welcome team members regardless of gender/identity, sexual orientation, race or cultural background, religion, physical disability and age. 

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