Staff AI Engineer, Lattice
$187.5-234.5k
This position is also eligible for incentive stock options, subject to the terms of Lattice’s applicable plans
Employee success platform
Open for applications
Employee success platform
501-1000 employees
Open for applications
$187.5-234.5k
This position is also eligible for incentive stock options, subject to the terms of Lattice’s applicable plans
501-1000 employees
Company mission
Lattice's mission is to build cultures where employees and their companies thrive.
Role
Who you are
- You have 8+ years of professional experience writing and maintaining production-level applications, with at least 4 years in designing and implementing scalable AI/ML systems in production
- You have deep expertise in AI/ML concepts, including LLMs, model fine-tuning, and traditional ML techniques (supervises / unsupervised systems or neural networks)
- You have experience with advanced LLM techniques: Retrieval-Augmented Generation (RAG), RLHF, or LoRA
- You have strong programming skills in Python, with hands-on experience in frameworks like PyTorch, TensorFlow, Hugging Face Transformers, or LangChain
- You have expertise in MLOps: deployment (Docker, Kubernetes, Terraform and/or CDK), model monitoring (MLflow, DataDog, etc), and CI/CD workflows
- You are proficient in the AWS ecosystem (Lambdas, SQS, SNS, etc) and data engineering tools for large-scale datasets
- You have excellent problem-solving, system design, and technology decision-making skills
- You have strong communication and collaboration skills to lead projects and mentor junior team members, and to also collaborate with product and executives
- Experience with agentic AI or building muti agent systems
- Experience with cloud-based ML services (e.g., AWS SageMaker, Google Cloud AI, Azure Machine Learning)
- Experience with TypeScript / Javascript as it is our current programming language (Our current stack includes NodeJS, GraphQL, and PostgreSQL. We rely on AWS to host our infrastructure)
- Professional experience in at least two cloud platforms (AWS, GCP, Azure)
- Knowledge of optimization and scaling tools like Ray, Spark, or distributed training systems
- Familiarity with hybrid solutions combining traditional ML and LLMs
- Track record of publishing or presenting on artificial intelligence and machine learning topics in professional forums
What the job involves
- You will join Lattice’s AI Engineering team, where you will lead and shape Lattice's artificial intelligence strategy while building software to help the humans powering organizations thrive, with a particular focus on large language models (LLMs) and emerging machine learning technologies
- You will design and build end-to-end architectures for AI/ML solutions, including data pipelines, model development, and production deployment
- You will develop, fine-tune, and optimize LLM-based solutions for Lattice’s talent platform and product suite
- You will drive architectural decisions, balancing trade-offs between scalability, latency, accuracy, and cost
- You will implement AIOps practices, including CI/CD pipelines, feature flagging, model monitoring, and performance optimization
- You will work at a strategic level to influence technical decisions by collaborating cross-functionally with product managers, data scientists, and engineers to deliver AI-driven features aligned with business goals
- You will mentor and guide engineers of various experiences in AI engineering, establishing best practices for software and AI development, standardizing and evangelizing AI engineering in our team
- You'll lead technical evaluation of AI/ML vendors and platforms, making strategic recommendations on build vs. buy decisions for our AI infrastructure, from LLM providers to security and monitoring solutions
Our take
Modern HR departments face many challenges, such as maintaining employee engagement, often across a distributed workforce. Lattice’s people success platform solves this problem.
Lattice enables companies to launch effective performance review cycles, implement OKRs and facilitate manager meetings, all of which are proven to drive engagement and productivity. Lattice’s solutions are now trusted by over 4,000 business leaders, including executives at Reddit, Slack and Cruise. The company is now valued at over $3 billion, which is testament to industry confidence in its product.
Lattice has launched a London office, which will accelerate its international expansion, aided by 2022's series F funding. Scaling in this way will be an instrumental part of their future success, allowing it to compete with the rival HR software providers, and become central to carving out the new world of work.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (last 2 of 8 rounds)
Jan 2022
$175m
SERIES F
Mar 2021
$60m
SERIES E
Total funding: $329.4m
Company benefits
- Continuous learning reimbursements
- Equity
- Flexible vacation/time-off policy
- Work from home opportunities
Company values
- Ship, Shipmate, Self is about how we see each other
- Chop Wood, Carry Water is about how we see our work
- Clear Eyes is about how we see the world
- What’s Next? is about how we approach ourselves
Company HQ
Rincon Hill, San Francisco, CA
Articles
Leadership
Eric Koslow
(Board Member)Recently co-founded and acted as CEO for VStream. Previously worked as Director of Technology at FoundersCard, and Software Company at 8th Light. Was Lead Developer at Teespring.
Jack Altman
(Chairman)Started out as an Analyst at Gleacher & Company, and was VP of Business Development at Teespring.
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