Splice
Senior Backend Engineer - ML Core: Develop impactful computer vision features using Roboflow tools, collaborate with a talented team, and create innovative AI solutions.
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Splice
We are seeking a Senior Backend Engineer to join our ML Core team at Splice. As a key member of the team, you will help define architecture and drive implementation changes across multiple backend services. You will optimize search infrastructure, create mechanisms for safe and rapid ML model productionalization, and advocate for system designs that prioritize customer experience. With expertise in Elasticsearch, Go, Python, and cloud provider primitives, you will work with a talented team to develop impactful computer vision features using tools by Roboflow. Our company offers flexible remote work options, $4,000/year travel stipends, and equity in a fast-growing company. We value curiosity, ownership, and a drive to improve, and we are committed to creating innovative AI solutions that make the world programmable.
You will help define the architecture and drive implementation changes across multiple backend services that power Splice’s next generation products. You will translate those large-scale architectural changes into manageable, incremental outcomes that provide ongoing customer benefits. You will help optimize our search infrastructure and create mechanisms for safe and rapid ML model productionalization. You will advocate for system designs and APIs that make “The right thing, the easy thing.” You will drive solutions that are both technically and organizationally scalable.
As a software engineer at this level:
You include customer experience when discussing engineering solutions and tradeoffs
You investigate and provide clarifying guidance for areas of significant uncertainty
You own delivering complex projects that span multiple domains and teams
You identify areas for team- and organization-wide improvement and propose solutions
You regularly seek mechanisms to ensure that deliverables meet or exceed quality standards
You provide mentorship and give candid and respectful feedback for how to improve our engineering practices
You help manage cross-team commitments, track their progress and relate that to the overall delivery roadmap in order to help prioritize the team’s work
You are flexible and readily adapt to change
You enjoy looking for personal growth opportunities and are continuously looking for ways to improve
Qualifications:
You have worked with Elasticsearch, optimizing data representations, queries, and clusters to produce high-quality customer experiences
You have relevant work experience building and evolving production software using Go and Python
You have experience deploying and managing ML models in production environments
You have several years working with RDBMS such as MySQL or PostgreSQL and crafting performant SQL queries
You have experience leveraging SaaS and cloud provider primitives to their fullest potential
You work backwards from the customer experience
You share our vision to enable artist creativity and continue our path becoming the most iconic music company in the world
You are comfortable having build-versus-buy tradeoff conversations
You’re self-directed towards generating excellent work outcomes
You ensure shared understanding about the definition of done
You have a bias towards action and experimentation
You are focused on quality over quantity
You are comfortable, or even prefer working across technical stacks
You are outcome-focused and consider how we will know whether our deliverables meet customer expectations
You communicate clearly and effectively with technical and non-technical audiences
You are comfortable writing, deploying, evolving, and deleting code
Our Tech Stack
Go, Python, TypeScript/NodeJS, GraphQL, Docker, MySQL, Elasticsearch, Redis
NX, Jenkins, CodeBuild, Github Actions, Datadog
Terraform, AWS, ECS Fargate, Lambda
Bonus Qualifications
Experience with data warehousing or data marts
Deep knowledge of ElasticSearch and search/indexing technologies
Experience developing ML models (eg: PyTorch, TensorFlow, Keras) for personalization
Experience with Twirp/gRPC
Experience with a strongly typed language (eg: Rust, C++, Scala, Java, C#)
Experience working with Data Engineering
Experience working with open source data management software (eg: Amundsen, Apache Superset, Apache Doris)
SPLICE BENEFITS (US ONLY):
Compensation & Equity: Competitive pay with annual reviews and equity opportunities.
Time Off: Unlimited PTO to recharge and thrive.
Health & Wellness: Comprehensive medical, dental, and vision coverage for you and your dependents.
Retirement Savings: 401(k) plan with immediate vesting and company match.
Parental Support: 12 weeks of fully paid parental leave for non-birthing parents, and 18-20 weeks for birthing parents.
Flexible Work Options: Work remotely or connect at our office hubs and creative spaces worldwide.
Professional Growth: Annual learning budget, leadership programs, and team ambassador opportunities.
Community & Connection: Inclusive events, team meet-ups, and vibrant Employee Resource Groups.
The national pay range for this role is $185,000 - $200,000. Individual compensation will be commensurate with the candidate's experience.
