Senior AI Engineer

Job not on LinkedIn

🔥 13 hours ago

🇺🇸 United States – Remote

⏰ Full Time

🟠 Senior

🤖 AI Engineer

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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LottieFiles

WebsiteLinkedInAll Job Openings

51 - 200 employees

📣 Marketing

💼 Consulting

💰 $37M Series B on 2022-05

Marketing • Consulting • Design

LottieFiles is by Design Barn Inc. , a platform that offers a comprehensive suite of tools for creating, editing, and implementing lightweight and high-quality animations across various digital platforms, including websites, apps, and social media. Known for its ease of use, LottieFiles simplifies the motion design process through tools like the Lottie Editor and Creator, which are integrated with popular design tools such as Adobe After Effects, Figma, Webflow, and Canva. With its AI-powered tools and interactive features, LottieFiles tackles the challenges related to animation size and scalability, making animations more efficient and engaging for users. Trusted by millions of designers and developers worldwide, LottieFiles is an industry standard in motion design, helping to boost user engagement and conversion rates through innovative, customizable animations.

📋 Description

• Build and improve production generative systems for AI-generated motion from natural language • Improve prompt interpretation, model orchestration, routing, retrieval, tool use, structured generation, validation, repair, and visual verification • Diagnose recurring failure modes and implement durable improvements in prompts, data, system logic, constraints, or evaluation • Build compiler-backed feedback loops and deterministic quality gates • Develop experiments and fixed evaluation batteries to measure output-quality improvements • Design supervised fine-tuning datasets, training recipes, and post-training experiments for direct Motion DSL generation • Explore distillation, preference optimization, synthetic-data generation, reinforcement-learning approaches, and constrained generation • Select model checkpoints using evaluations of correctness, visual quality, reliability, latency, and cost • Determine whether model failures should be addressed through data, training, inference, evaluation, or the language/runtime • Convert production generations into training and evaluation datasets using filtering, provenance, versioning, deduplication, and contamination controls • Design train, validation, and evaluation splits that minimize leakage and preserve meaningful generalization tests • Create failure taxonomies, hard negatives, regression suites, and representative prompt batteries • Combine deterministic checks, model-based judges, render evidence, and human review into a reliable evaluation system • Own engineering work end-to-end with measurable product impact

🎯 Requirements

• Strong ML and software engineering experience • Built and operated production AI or machine-learning systems, not only prototypes • Comfortable working across model behavior, data pipelines, APIs, infrastructure, evaluation, and product code • Practical experience with supervised fine-tuning and modern post-training workflows • Understanding of how dataset construction affects model behavior • Ability to prevent leakage, contamination, and misleading evaluation results • Ability to design experiments, regression suites, automated graders, and evaluation datasets • Experience with code-generation models, DSLs, grammars, parsers, compilers, structured outputs, constrained decoding, or program synthesis is especially relevant • Production engineering judgment involving observability, reliability, latency, inference cost, caching, failure recovery, and maintainability • Experience with animation, motion design, graphics, creative tooling, or multimodal systems is valuable but not required • Nice to have: experience fine-tuning or evaluating code-generation models • Nice to have: experience with multimodal or vision-language models • Nice to have: experience building model-based, human-in-the-loop, or rubric-driven evaluation systems • Nice to have: experience with compilers, interpreters, language tooling, or program analysis • Nice to have: experience with Rust, PyTorch, or distributed training infrastructure • Nice to have: experience with preference optimization, reinforcement learning, or synthetic-data pipelines • Nice to have: experience with animation, graphics, rendering, or creative software

🏖️ Benefits

• Fully Remote Working Environment • Flexible Work Hours • A welcome gift and LottieFiles swag pack • Bonus to set up your workstation at home • Unlimited Leave Days • Medical Insurance • Generous learning budget • Gym membership • Co-working space membership