- Conceptualize, develop, and deploy AI-driven features and enhancements for our product platform
- Optimize AI algorithms and models for efficiency, accuracy, and scalability, leveraging best practices and emerging technologies in the field
- Integrate machine learning models, algorithms, and data pipelines into the backend infrastructure to enable intelligent decision-making and personalized user experiences
- Continually improving LLM performance and accuracy
- Support the design, architecture, and implementation of scalable backend systems and APIs that support AI-powered functionalities, ensuring high performance, reliability, and security
- Engage in a mix of research (approximately 35%) and engineering (approximately 65%)
- Stay abreast of industry trends, advancements, and emerging technologies in AI, machine learning, and backend development, and evaluate their potential impact on our product roadmap
- Mentor and provide technical guidance to junior engineers, fostering a culture of innovation, collaboration, and continuous learning within the team
- Actively engage in customer discovery, taking a hands-on approach to engage in conversations with customers
- Bachelor's degree in Computer Science, AI, Data Science, Machine Learning, or a similar field or related field of study
- 3+ years of real-world experience in a data science or machine learning engineering role; or demonstrated expertise cultivated through a long-standing passion for AI
- 4+ years of professional experience in software engineering, with a recent focus on LLM / generative AI technologies
- Expert understanding of LLMs including prompt engineering, Retrieval Augmented Generation (RAG), fine tuning and training
- Experience with models, such as LLaMA and OpenAPI GPT
- Experience with LLM frameworks, like LangChain and LlamaIndex, is a plus
- Strong knowledge of SQL, NoSQL Graph, and Vector databases
- Solid understanding of machine learning concepts, algorithms, and techniques
- Strong proficiency with data and ML-adjacent Python libraries (pandas, scikit-learn, etc)
- Proficient understanding of typical AI tooling ecosystem including knowledge and experience of Kubernetes, MLOps and AIOps tools
- Passion for AI: You geek out on generative AI, data science and machine learning theory and industry developments
- Exceptional verbal, written, and presentation skills
- Ability to work effectively both independently and as part of a team, including customer teams
- $180-200k annual salary based on experience
- Great benefits, including healthcare, dental, and vision coverage for employees
- Equity grants
- Monthly equipment stipend to cover laptop, monitor, and any software or equipment you may need
- Hardest work, best work. A challenge is motivating, even when it's a little scary. Working through hard challenges is what makes us grow.
- Speed over perfection. We move fast and have a bias for action. We're quick to spot issues, pivot without hesitation, and move quickly to drive forward. We tolerate the occasional mistake in exchange for speed.
- Face challenge head on. We're not afraid of hard conversations and we face challenges head on. We say the things that feel uncomfortable to say to address the issue and get to the other side of the problem. We do so with positive intent and an open mind.
- Humble in abundance, optimistic in adversity. In good times, we remind ourselves (and each other) that we're never done learning, growing, and improving. In hard times, we force ourselves (and each other) to keep the long-term vision in mind: failure is a timeline issue: with iteration and effort, you can always find a way to success.
- Diverse perspective, unified success. We seek out diversity because diverse teams are the most successful teams. We have a high tolerance for working alongside others who come with different perspectives, backgrounds, and areas of expertise. We approach every interaction with team members as an opportunity to see something in a different light.
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Senior Machine Learning Engineer, Generative AI - Denver, United States - High Alpha
Description
High Alpha is hiring key team members for a new B2B SaaS startup. This position will be with High Alpha's latest company, which is pre-public launch. You'll work closely with the internal High Alpha team while reporting to the VP of Engineering. If you've ever been interested in working at a company from scratch as a member of the initial team, this is it
This pre-launch product leverages breakthrough technology in the generative AI space along with information gleaned from skilled Consultants, to automate the creation of solutions collateral. This company will unlock skilled professionals to focus on the "neck up" parts of the role by automating the most administrative, but often most time-consuming, element of solutions collateral generation.
About this role:
As a Sr. ML Engineer in Generative AI, you will be a crucial partner in product discovery and design. You will be responsible for defining a compelling vision and strategy for our enterprise-grade LLM-based product. You will lead our AI architecture, data pipelining and associated software delivery. We will work together to shape the team's culture and define the early-stage product and the processes and procedures that guide how we work as a team.
What You'll Do:
What You'll Need:
Package:
Compensation:
Our Values:
High Alpha is an equal opportunity employer, and we value diversity at our company. We don't discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
Senior Machine Learning Engineer, Generative AI professionals in Denver
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Tom Jessiman
Founder and CEO
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Carlos Z
Cloud Data Ops | BI | Cloud FinOps | Agile | AI/ML