Software Engineer (Back-End)

As part of this role, you will be developing backend APIs and architecting the back-bone of our product Jenni (https://jenni.ai/). As a software engineer, you are our core product builders and obsessive problem solvers. You have a breadth of programming knowledge and the ability to deliver out-of-the-box solutions for challenging problems.

Qualifications

• Strong experience with back-end web development with excellent programming skills in JavaScript/TypeScript (NodeJS) and Python.
• A solid understanding of data structures, algorithms and functional programming.
• Familiarity with networking protocols and developing realtime web APIs (such as WebSockets/REST/gRPC).
• Experience working with serverless architectures and Kubernetes on Google Cloud Platform (or equivalent).
• Experience with using database systems such as Firebase, PostgreSQL or NoSQL.

Preferred Qualifications

• Proficient in English.
• Experience with deploying machine learning models (MLOps).
• Experience working in an agile development environment and test-driven development.
• Strong communication and interpersonal skills along with the drive to work in a rapidly changing startup environment.

Apply: https://forms.gle/2De2L1gQA7hiPcQG9

Infrastructure & DevOps Engineer

You will be responsible for productionizing machine learning models and deploying them in a scalable manner. You will develop and cultivate CI/CD (Continuous Integration/Continuous Delivery) pipelines and tooling to increase our engineering productivity. You will be responsible for maintaining our operations to ensure the high availability of our services.

Qualifications

• Strong computer science foundation in distributed computing, networking, and security.
• Strong understanding of infrastructure and cloud computing platforms (Amazon Web Services or Google Cloud Platform).
• Fluent in JavaScript (NodeJS) and Python with knowledge of deploying these applications to the cloud.
• Experience with container and orchestration technologies such as Docker and Kubernetes.

Preferred Qualifications

• Experience deploying deep learning models to production environments.
• Experience working with NVIDIA GPU-powered infrastructure (GPU and preemptive nodes).
• A basic understanding of the computational requirements of deep neural networks.

Apply: https://forms.gle/2De2L1gQA7hiPcQG9

Machine Learning Engineer

Machine learning (ML) engineers at Altum produce research breakthroughs and bring cutting edge technologies to practice. As an ML Engineer, you will develop and prototype deep learning models and algorithms to solve a wide variety of problems.

Qualifications

• Advanced understanding of deep learning with applications in sequence modeling and natural language processing.
• Experience with cutting edge deep learning methods such as transfer learning, with a solid understanding of recurrent neural networks and attention-based architectures.
• Excellent Python programming skills and experience with PyTorch.
• Strong communication and interpersonal skills with the ability to present highly technical information in writing.

Preferred Qualifications

• At least one first-author deep learning paper published in a peer-reviewed conference (such as ACL, EMNLP, NeurIPS, AAAI, ICLR, ICML etc.).
• Ability to propose interesting and novel research topics.
• Experience with big data technologies (Hadoop/Spark) or data mining.
• Experience deploying deep learning systems to production environments, reducing research into practice.

To apply, please send your resume to hr@altum.io.

User Experience Designer (UX)

User experience designers (UX) at Altum are techno-anthropologists who are obsessed with studying people and understanding their problems. You are observant and are able to discover new user behavior and patterns. Your mission is to create a product to solve these problems in a manner that feels compelling, seamless, and satisfying. Achieving this requires designing user flows, wireframes, building user interface mockups, and prototypes. At every stage, you are building the bridge between humans and AI technology.

Qualifications

• Experience in graphic design, human-computer interaction, computer science, or related fields.
• Experience with design tools (e.g., Adobe Photoshop, Sketch, Illustrator, Figma).
• Experience with user research, usability testing and the scientific method (e.g., experience prototypes, think aloud experiments, heuristic evaluations).
• A design portfolio that demonstrates a strong understanding of design principles for web and/or mobile platforms.

Preferred Qualifications

• Proficient in English and writing experimental reports.
• Strong design background along with relevant experience in interaction, graphic design, or motion design.
• Solid analytical, creative and visual thinker with excellent communication skills, both verbal and visual with the drive to work in a rapidly changing startup atmosphere.
• A passion for talking to customers and running observational experiments.

Work schedule: Full time and fully remote (specific hours are flexible)

Compensation: A combination of salary and stock options

To apply, please send your resume and design portfolio to hr@altum.io.