Hybrid Software Engineer Software Engineer

Inclusively is partnering with a voice, video, and text communication service to hire a Staff Software Engineer, ML Platform. **Please note: this role is NOT an internal position with Inclusively but with the partner company.**

ABOUT INCLUSIVELY:

Inclusively is a digital tech platform that empowers job seekers with disabilities, caregivers, and veterans by using Success Enablers–accommodations and personalized workplace modifications that help all job seekers reach their full potential and excel. This includes all disabilities under the ADA, including mental health conditions (e.g. anxiety, depression, PTSD), chronic illnesses (e.g. diabetes, Long COVID), and neurodivergence (e.g. autism, ADHD).

Create your profile, select Success Enablers, and connect to jobs from our partnered employers who are committed to creating diverse and inclusive teams. When registering, you must acknowledge that this platform is for people with disabilities, caregivers, and veterans. However, Inclusively does not require candidates to disclose their specific disability to join the platform.

Our company is about giving people the power to create space to find belonging in their lives. We want to make it easier for you to talk regularly with the people you care about. We want you to build genuine relationships with your friends and communities close to home or around the world. Original, reliable, playful, and relatable. These are the values that connect our users and our employees at our company.

The Machine Learning Platform (MLP) at our company is responsible for the end-to-end model lifecycle across all ML applications. We sit at the intersection of machine learning engineers (MLEs), core infrastructure, and ML consumers to provide tools, capabilities, and services that make machine learning easy, safe, and widely accessible. In this role, you will work on everything from feature stores, real-time data processing, LLM tooling, and model serving at scale. You will lead projects and work directly with ML practitioners as well as other staff+ engineers to shape the landscape of our backend data systems. You will report to the Senior Engineering Manager of the ML Platform team.

What you'll be doing

• Design and build the platform ML engineers and data scientists use to understand and delight our users and keep them safe
• Evaluate and integrate new machine learning frameworks and tools to ensure that our company keeps up with the fast moving world of ML, including LLMs and generative AI
• Collaborate with model builders to ensure we have a smooth path from idea to production
• Set best practices in machine learning at our company
• Create foundational datasets and models

What you should have

• 8+ years of experience working as a software engineer in data or backend with exposure to large datasets or distributed systems
• 4+ years working on platforms or infrastructure
• 2+ years working on machine learning platforms
• Know-how with orchestration systems (such as Airflow, Dagster, or Argo).
• You've put machine learning models into production

Bonus points

• Experience with real-time data processing (Spark, Flink, Dataflow, Kafka, Pulsar, etc.)
• Experience debugging and maintaining live production systems on Kubernetes
• Experience building ML models using modern frameworks

The US base salary range for this full-time position is $246,000 to $270,400 + equity + benefits. Our salary ranges are determined by role and level. Within the range, individual pay is determined by additional factors, including job-related skills, experience, and relevant education or training. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include equity, or benefits.