Staff ML Engineer — Life Sciences AI, Production Pipelines Lead
Lilasciences
Lilasciences is seeking a Staff ML Engineer for Life Sciences AI in San Francisco. This senior role focuses on software infrastructure for their protein design and engineering pipelines. The ideal candidate will have extensive experience with scalable system design, cloud infrastructure, and strong software engineering fundamentals. You will build robust systems that integrate AI models with experimental data and mentor engineers as the team expands. Competitive salary, equity, and a comprehensive benefits program are offered to full-time employees. #J-18808-Ljbffr Lilasciences
$162.8k - $200.2k
...building a platform where AI and automation co-... ...medicine. Within Life Science AI (LSAI), software engineers build the systems... ...into reliable, production-grade pipelines powering Lila's protein... .... We're hiring a Staff ML Engineer, Life Sciences AI to lead software...PipelineFull timeWork at officeLocal areaFlexible hours- About Liquid AI Spun out of MIT CSAIL... ...electronics, automotive, life sciences, and financial... ...the technical lead to ship production systems that run... ...across data pipelines, evaluation systems... ...shipping production ML systems beyond... ...codebases with high engineering standards Nice‑...PipelineShift work
- About Liquid AI Spun out of MIT CSAIL, we build... ...electronics, automotive, life sciences, and financial... ...team owns the full VLM pipeline end‑to‑end: from researching... ...might look like: Lead a new model capability... ...model has shipped to production with your direct contribution...Pipeline
- About Liquid AI Spun out of MIT CSAIL, we build... ..., automotive, life sciences, and financial services... ...built datasets. We need ML-minded engineers who can collect, filter... ...our researchers ship production systems. Learns fast... ..., and selection pipelines at scale Create pipelines...Pipeline
- ...part of our engine. You'll be working... ...on making AI models run... ...You've written production PyTorch code... ...current state of ML deployment... ...the world’s leading visual AI platform... ...their own pipelines — connecting... ...of Technical Staff, it’s long and... ...up being our life’s work. If...Pipeline
$250k - $350k
...We’re building the AI intelligence... .... The Role As a Staff ML Engineer on the Frontier AI... ...across our clinical AI products — foundational coding... ...runs, fine-tuning pipelines, and production... ...accounts for all of the life factors that... ...ambiguous problems that lead to real greatness....PipelineWork at officeImmediate startRemote workFlexible hours3 days per week- Perplexity is seeking experienced ML engineers to design, build, and optimize the... ...on Perplexity. Perplexity builds AI for those who expect more. Our products are designed to help people find answers... ..., retrieval, or personalization pipelines. Taste and judgment for how...Pipeline
$200k - $275k
...Labs provides AI-powered... ...threat networks. Leading agencies and... .... The AI Engineering Team is chartered... ...robust pipelines, high-performance... ...to make AI production-ready. We’re... ...a Senior or Staff ML Systems... ...engineering and data science to embed AI... ...States. Life at TRM We...PipelineRemote workWorldwide- About AI systems are getting better on benchmarks, but still... .... At Arcada Labs, we build products used by millions of people... ...the Role We’re looking for an ML Research Engineer to help us build better ways... ...ranking systems, analysis pipelines, and experimental methods for...Pipeline
$245k - $272k
...Rewards philosophy. AI is a... ...the Role As a Staff MLE, you’ll design... ...problem framing to production deployment,... ...decisions, and mentor engineers across the... ...impact group of ML engineers and platform... ..., RAG pipelines, eval frameworks... ...powered products. Lead technical...PipelineFull timeWork at officeLocal areaRemote work2 days per week3 days per week- About TrueFoundry Every production AI system, whether it's powering customer support,... ...re building it. We're looking for a Staff ML Platform Engineer - Large Scale Training (LLMOps/MLOps... ...high-throughput, low-latency inference pipelines for state-of-the-art models. Build...PipelineFlexible hours
- ...next generation of AI-native data... ...of the platform, leading large-scale initiatives... ...design through to production with real ownership... ...ended, and strong engineers have enormous leverage... ...architecture, RAG pipelines, and knowledge... ...with significant AI/ML depth and a track...Pipeline
- ...is seeking candidates experienced in building reinforcement learning-based LLM training pipelines. You will train models to tackle challenges in materials science and engineering. Qualifications include industry experience with Python and PyTorch, strong communication...Pipeline
$215k - $265k
...forefront of AI and high-performance... ...ranging from life sciences and healthcare... ...Senior Staff Engineer specializing in... ...& Storage to lead hands-on development... ...AI inference pipelines. This role... ...and shipping production-grade AI infrastructure... ...with AI/ML engineering teams...PipelineLocal area- ...Bio in San Francisco is looking for a candidate to own the training pipeline behind models essential for both their search stack and agents. You will be responsible for building pathways from real product usage to high-quality training data while rigorously fine-tuning...Pipeline
$158k - $269k
...build the self-driving engineering foundations to develop... ...Researchers using an AI-first approach to enable... ...and inference pipelines. Make iterations on the... ...experience in Computer Science, Robotics and/or similar... ...reading and developing production quality software, versus...PipelineFull timeWork at officeWork from homeFlexible hours- Parallel Web Systems in Palo Alto is seeking a professional to own the training pipeline behind models that power both their search stack and agents. The role involves building connections from product usage to training data, fine-tuning models, and ensuring safe deployment....Pipeline
- Parallel is seeking a professional who will own the training pipeline behind models that support both the search stack and agents. Responsibilities include building pathways from product usage to high-quality training data, rigorously fine-tuning models, and shipping them...Pipeline
- About Liquid AI Spun out of MIT CSAIL, we build general-purpose... ...electronics, automotive, life sciences, and financial services. We... ...priorities and delivers: Our best engineers align with team priorities... ...Experience optimizing data pipelines for ML workloads Nice-to-have:...Pipeline
- ...a candidate in San Francisco to manage the multi-stage ranking pipeline that identifies the best web query results. The ideal candidate will possess a strong intuition for relevance and feature engineering. This position requires a rigorous approach to evaluation based...Pipeline
$141k - $249k
...Description Waabi, founded by AI visionary Raquel Urtasun, is... ...closely with autonomy and algorithm engineers to scale safe self-driving... ...- Expand the model deployment pipeline to new GPUs and embedded... ...industry experience in Computer Science, Robotics and/or similar technical...PipelineWork at officeWork from homeFlexible hours- ...Palo Alto seeks an expert to own the multi-stage ranking pipeline, optimizing candidate selection for queries while... ...role requires deep insight into relevance and feature engineering, contributing to products used by millions. The team operates fully in-person between...Pipeline
$224k - $280k
...Atoms builds Physical AI - real‑world robots... ...scalable, and more productive. This work... ...We are roboticists, engineers, operators, and builders... ...shape everyday life. If you want to work... ...build the large‑scale ML training... ...performance training pipelines and validation environments...PipelineFull timeWork at officeFlexible hours$224k - $280k
Staff Machine Learning Infrastructure Engineer Who we are Atoms is building... ...builds Physical AI—real‑world robots... ..., and more productive. This work requires... ...shape everyday life. If you want... ...large‑scale ML training infrastructure... ...training pipelines and validation...PipelineFull timeContract workFor contractorsFor subcontractorWork at officeFlexible hours$224k - $336k
Staff / Principal Engineer, Technical Mitigations Research... ...high‑agency AI safety team... ...(science, model training... ...Mitigations Lead, to lead the... ...generation pipelines, safety post... ...automation, and product teams.... ...engineering with ML systems. Experience... ...lab for life, chemistry,...Pipeline$200k - $235k
...experienced Senior Staff Machine Learning Engineer to join our... ...and take a leading role in... ...models in a production environment,... ...robust data pipelines that support... ...in Computer Science, Engineering,... ...experience with ML libraries like... ...210,000 USD Life at Flex We understand...PipelineFull timeLocal areaRemote workRelocation packageFlexible hours2 days per week3 days per week- A tech-focused company in San Francisco seeks candidates with expertise in AI simulation development. The role emphasizes optimizing training efficiency, enhancing GPU performance, and ensuring low-latency inference. Applicants should be proficient in methodologies for...
- Apple Inc. is seeking a Staff/Sr. Machine Learning Engineer for their Foundation Models... ...working closely with product teams to optimize AI models for real-time service... ...years of experience in leading complex projects and... ...applications, Kubernetes, and ML frameworks like Pytorch...
$267k - $297k
A leading technology company is looking for a Senior Staff ML Engineer to define the technical vision for AI-native discovery experiences, supporting Mobility and Delivery. The role requires a deep understanding of large-scale deep learning, ML architecture, and proven...$170k - $225k
...we're looking for a Staff Machine Learning Engineer to take technical ownership... ...most consequential ML systems we run.... ...interface for Product, Data Science, Risk, and Commerce... ...automated retraining pipelines, rollback capability... ...Proficiency in using AI coding tools (e.g.,...PipelineH1bWork at officeImmediate startFlexible hours
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