Senior Software Engineer (AI/ML Platform)
ΠΡΡΡ & Π‘ΠΎΠΏΡΠΎΠ²ΠΎΠ΄
ΠΠ»Ρ ΠΌΡΡΡΠ° Ρ ΡΡΠΎΠΉ Π²Π°ΠΊΠ°Π½ΡΠΈΠ΅ΠΉ Π½ΡΠΆΠ΅Π½ Plus
ΠΠΏΠΈΡΠ°Π½ΠΈΠ΅ Π²Π°ΠΊΠ°Π½ΡΠΈΠΈ
Location: Remote within the United States. All roles are U.S.-based, and applicants must have current authorization to work in the United States.
Salary: $197,000β$307,000 USD annual base salary, with the final offer depending on market location, knowledge, skills, and experience.
Company
develops commercially deployed humanoid robots for warehouses, manufacturing facilities, and distribution centers.
What you will do
- Design and implement the ML platform for end-to-end data processing, training, evaluation, deployment, and model management.
- Develop reliable workflows across cloud compute, Kubernetes, and continuous automation.
- Build model registry, feature store, experiment tracking, and model observability infrastructure.
- Create developer-facing APIs and CLI tools that make ML workflows simple and reproducible.
- Implement CI/CD for continuous retraining, automated testing, and production model delivery.
- Collaborate with AI researchers, robotics engineers, data platform engineers, and autonomy teams to deliver scalable infrastructure.
Requirements
- 5+ years of software engineering experience, including at least 2+ years working on production ML infrastructure, data platforms, or MLOps systems.
- Experience building ML platform components such as experiment tracking, model registries, training pipelines, or deployment systems.
- Familiarity with MLflow, WandB, Airflow, Kubeflow, or similar orchestration and tracking tools.
- Proficiency with AWS, GCP, or Azure; containers; and infrastructure as code such as CDK or Terraform.
- Hands-on experience processing or modeling multimodal data, including sensor logs, camera streams, and behavior traces.
- Comfort collaborating with research scientists, data engineers, and robotics or autonomy teams.
Nice to have
- Experience with robotics, autonomous vehicles, drones, or embedded ML.
- Contributions to open-source ML infrastructure or MLOps tooling.
Culture & Benefits
- Remote-friendly environment with a fully distributed engineering team and flexible work arrangements.
- Full-time benefits include a 401(k) plan with a 6% company match, stock options, and company-paid medical, dental, vision, and disability insurance.
- Flexible unlimited PTO for exempt employees, or vacation and paid sick leave for non-exempt employees, plus 12 company holidays.
- Paid parental leave, employee assistance support, professional development, and tuition reimbursement.
- Relocation assistance, annual discretionary bonuses, and on-site catered lunches at Salem and Pittsburgh locations for eligible roles.
ΠΡΠ΄ΡΡΠ΅ ΠΎΡΡΠΎΡΠΎΠΆΠ½Ρ: Π΅ΡΠ»ΠΈ ΡΠ°Π±ΠΎΡΠΎΠ΄Π°ΡΠ΅Π»Ρ ΠΏΡΠΎΡΠΈΡ Π²ΠΎΠΉΡΠΈ Π² ΠΈΡ ΡΠΈΡΡΠ΅ΠΌΡ, ΠΈΡΠΏΠΎΠ»ΡΠ·ΡΡ iCloud/Google, ΠΏΡΠΈΡΠ»Π°ΡΡ ΠΊΠΎΠ΄/ΠΏΠ°ΡΠΎΠ»Ρ, Π·Π°ΠΏΡΡΡΠΈΡΡ ΠΊΠΎΠ΄/ΠΠ, Π½Π΅ Π΄Π΅Π»Π°ΠΉΡΠ΅ ΡΡΠΎΠ³ΠΎ - ΡΡΠΎ ΠΌΠΎΡΠ΅Π½Π½ΠΈΠΊΠΈ. ΠΠ±ΡΠ·Π°ΡΠ΅Π»ΡΠ½ΠΎ ΠΆΠΌΠΈΡΠ΅ "ΠΠΎΠΆΠ°Π»ΠΎΠ²Π°ΡΡΡΡ" ΠΈΠ»ΠΈ ΠΏΠΈΡΠΈΡΠ΅ Π² ΠΏΠΎΠ΄Π΄Π΅ΡΠΆΠΊΡ. ΠΠΎΠ΄ΡΠΎΠ±Π½Π΅Π΅ Π² Π³Π°ΠΉΠ΄Π΅ β