Machine Learning Engineer
SweedFull Time
Mid-level (3 to 4 years)
Candidates must possess expert-level PyTorch skills and be proven software engineers comfortable writing production code across the stack. A strong background in ML is required, including hands-on experience training or fine-tuning large language or other large-scale models using various techniques. Expertise in ML evaluation, including designing metrics and harnesses that predict user happiness, is essential. Deep knowledge of the entire ML lifecycle, encompassing dataset operations, training pipelines, evaluation frameworks, deployment, and monitoring, is also necessary. A history of shipping complex, user-facing, online ML systems to production, even with shifting requirements and unexpected obstacles, is crucial. Candidates should demonstrate high agency, good judgment for independent work versus collaboration, and a track record of setting technical direction, building consensus, and partnering effectively with product, infra, and research teams.
The ML Engineer will be responsible for owning evaluation pipelines, including designing, building, and automating offline and live evaluations to ensure the quality of speech and multimodal models in production. They will also create tooling for safe, versioned, and privacy-aware dataset curation and discovery. A key responsibility is to partner with research and infrastructure teams to prototype, train, and deploy state-of-the-art voice models that power the real-time companion experience. The role involves scaling training and inference for LLM-class workloads, optimizing for latency, throughput, and cost. Additionally, the engineer will implement monitoring and live evaluations to detect quality regressions before they impact users or product managers. The position requires moving at startup speed, taking ideas from concept to production rapidly, and maintaining clean code with comprehensive tests and dashboards.
Telehealth platform connecting patients with doctors
Sesame Care connects patients with doctors and specialists through a telehealth platform, primarily serving clients in various states across the U.S. The platform allows patients to book online appointments for services like urgent care, prescription refills, dermatology, mental health, and general doctor visits. By enabling independent clinicians to use its platform, Sesame Care reduces overhead costs and offers competitive pricing, often lower than traditional healthcare providers. Additionally, Sesame partners with Quest Diagnostics to provide affordable lab services, creating a comprehensive healthcare solution. The company operates on a direct-pay model, where patients pay for services upfront, ensuring transparency and prompt payments for healthcare providers. Sesame Care's goal is to make healthcare more affordable and accessible, simplifying the process for patients to receive quality care.