Remote Jobs at AKASA

Candidates should have a strong background in machine learning and engineering, with experience in managing engineering teams. A proven track record in deploying machine learning models in production environments is essential. Familiarity with large language models (LLMs) and experience in developing infrastructure for model development are required.

Candidates should possess a Master's degree in Computer Science, Statistics, or a related field, and have at least 5 years of experience in machine learning engineering. Strong experience with large datasets, particularly in the healthcare domain, is required, along with proficiency in programming languages such as Python and experience with machine learning frameworks like TensorFlow or PyTorch. Familiarity with cloud computing platforms like AWS or GCP is also preferred.

- Experience with observability tools for metrics, logs, and traces (e.g., Grafana, Prometheus/Mimir, OpenSearch, Sentry, or similar) - Proficiency with Infrastructure as Code, specifically Terraform - Proficiency with Kubernetes - Experience with GitHub CI/CD - Ability to attend in-office co-working days every Wednesday in South San Francisco (strong Bay Area presence expected)

Candidates should possess a Bachelor's degree or equivalent relevant work experience, coupled with at least one year of experience in sales, business development, or a similar client-facing role. Strong verbal and written communication skills, adaptability, professionalism, and motivation are essential. A strong work ethic, interest in making a significant impact, and a desire for career growth in a high-growth startup environment are required, along with an interest in or some knowledge of B2B …

The ideal candidate is a storyteller with empathy for customers and a belief in AKASA's purpose, capable of adapting communication to engage effectively. Experience in product marketing, GTM strategy, product planning, and launching products is essential. The role requires collaboration with R&D, sales, and marketing teams, as well as customer research and competitive analysis.

Candidates must possess a Bachelor's degree and have over 5 years of experience in consultative enterprise sales. A proven track record of selling to executive-level healthcare providers, including hospitals and health systems, is essential. The role requires strong presentation skills, the ability to identify customer needs and develop solutions, and excellent writing, critical thinking, and negotiation abilities. Domestic travel up to 60% is expected. Ideal candidates will have deep experience…

- 3+ years of full-cycle recruiting experience, including at least 1 year in-house (technical role experience a plus) - Demonstrable success at an early-stage tech company competing for and winning top-tier talent - Proven track record of attracting passive candidates and building a diverse pipeline - Strong track record of influencing stakeholders and solving complex recruiting challenges with creativity and innovation - Data-driven approach with the ability to analyze metrics, surface insights…

- Experience as a Product Manager - Experience working with engineering and ML teams - Experience collaborating with customer design partners - Experience working with domain SMEs - Ability to strategize and generate product ideas

- Bachelor's degree in Design, Graphics, Human-Computer Interaction, Computer Science, a related field, or equivalent practical experience - 3+ years of industry experience designing for Enterprise SaaS products - Experience leading UX strategy and product discovery efforts at lean startups - Skilled user of product design tools like Figma, solid experience with JIRA, and proficiency with user tracking and analytics tools like Mixpanel - Curious, resilient, and eager to learn. You take feedback …

- BS in Computer Science, Data Analytics, or similar - 3+ years of analytics, BI engineering, Data Engineering, or similar experience - Strong professional experience in SQL - Professional BI Tooling experience (Tableau/Looker/Quicksight/SuperSet, etc) - Experience building out dashboards that clearly fulfill business needs - Ability to effectively communicate with both technical and non-technical stakeholders to translate their needs into reusable data platform assets - A delivery-focused minds…

- Ability to build initiative plans and establish timelines - Experience translating product requirements into technical specifications - Capability to iterate with engineering teams to turn specifications into working products - Ability to roll out products in customers' systems - Understanding of technical tradeoffs and blockers, with seamless communication to non-technical audiences, executive leadership, and cross-functional stakeholders - Proficiency in utilizing data to drive decision-maki…

- Bachelor's degree in Computer Science/Software Engineering or related field - 5+ years of experience in front-end programming - Experience with ReactJS (required) - TypeScript or Javascript with another strongly typed language - Strong visual design sense and an ability to empathize with users - Nice to have: any backend experience with Python

- Bachelor of Science in Computer Science/Software Engineering or related field - 5+ years of professional experience in software development or machine learning - Software engineering experience in Python (required) - Proven track record with SaaS products - Strong communication and interpersonal skills with meticulous attention to detail - Experience building consumer applications on top of ML pipelines - Familiarity with FastAPI, SQLAlchemy, Postgres - Proficiency in Docker, Kubernetes, AWS -…

- Expertise in machine learning research, particularly with large language models (e.g., pretraining and fine-tuning architectures like Llama) - Experience in end-to-end model development, including design, data creation, training, evaluation, and iteration - Ability to drive applied research in clinical Natural Language Understanding and healthcare-specific challenges - Strong collaboration skills with cross-functional teams, including PhD researchers, ML engineers, and healthcare experts - Fam…