Current jobs related to Senior Machine Learning Engineer - San Francisco, California - Spector
-
Senior Machine Learning Engineer
4 days ago
San Francisco, California, United States Toi Labs Full time $120,000 - $180,000 per yearAbout UsToi Labs is a pioneering health technology company based in San Francisco, dedicated to enhancing wellness through innovative in-home health monitoring solutions. Our flagship product, TrueLoo, is an AI-powered smart toilet seat designed to seamlessly integrate into daily routines while providing continuous health insights. By optically scanning and...
-
Senior Machine Learning Engineer
6 days ago
San Francisco, California, United States Apple Full time $181,100 - $272,100 per yearOur team is looking for you to help make iOS more intelligent, proactive and personal. Our team is part the core iOS experience, using privacy preserving on-device intelligence to drive new experiences that touch the lives of millions of Apple customers every day. We are responsible for personalizing core system experiences, such as helping you manage and...
-
Senior Machine Learning Engineer
6 days ago
San Francisco, California, United States Samsara Full time $140,000 - $250,000 per yearWho we areSamsara (NYSE: IOT) is the pioneer of the Connected Operations Cloud, which is a platform that enables organizations that depend on physical operations to harness Internet of Things (IoT) data to develop actionable insights and improve their operations. At Samsara, we are helping improve the safety, efficiency and sustainability of the physical...
-
Machine Learning Engineer
5 days ago
San Francisco, California, United States TechLink Resources, Inc Full time $120,000 - $200,000 per yearComputer Vision/ Machine Learning EngineerAd Platforms organization within Company Technology is fully responsible for building, enhancing and maintaining the high-performance, distributed, microservice-based Advertising Platform across all of Company online properties. We build and maintain proprietary technology, ranging from ad serving and ad delivery,...
-
Senior Staff Machine Learning Engineer
1 day ago
San Francisco, California, United States Patreon Full time $120,000 - $250,000 per yearPatreon is a media and community platform where over 300,000 creators give their biggest fans access to exclusive work and experiences. We offer creators a variety of ways to engage with their fans and build a lasting business including: paid memberships, free memberships, community chats, live video, and selling to fans directly with one-time...
-
Senior Applied Machine Learning Engineer
6 days ago
San Francisco, California, United States MaintainX Full time $150,000 - $250,000 per yearMaintainX is the world's leading mobile-first Asset and Work Intelligence platform for industrial and frontline environments. We're a modern, IoT-enabled, cloud-based solution that powers maintenance, safety, and operations on physical equipment and facilities.We help 12,000+ organizations—including Duracell, Univar Solutions, Titan America, McDonald's,...
-
Machine Learning Engineer — Entry Level
6 days ago
San Francisco, California, United States Emonics LLC Full time $80,000 - $140,000 per yearWe're seeking a passionate Machine Learning Engineer to join our San Francisco team. This is an exciting opportunity for recent graduates or early-career professionals to work on real-world ML solutions and build a strong foundation in data-driven development.Responsibilities:• Build and train machine learning models using Python and frameworks such as...
-
Machine Learning Engineer
6 days ago
San Francisco, California, United States Acceler8 Talent Full time $120,000 - $200,000 per yearMachine Learning Engineer (Inference)We are seeking an Inference focussed Machine Learning Engineer to join a Stanford spin out scale up building a foundational infrastructure layer for AI inference.The team were founded on the back of a successful exit, with the core of the previous founding team creating their new venture. Their aim is to dramatically...
-
Machine Learning Engineer
6 days ago
San Francisco, California, United States Facebook Full time $125,000 - $175,000 per yearCompany DescriptionMeta, formerly known as Facebook, builds technologies that help connect people, find communities, and grow businesses. Launched in 2004, Facebook revolutionized the way people connect, and subsequent apps like Messenger, Instagram, and WhatsApp further empowered billions globally. Meta is progressing beyond 2D screens toward augmented and...
-
San Francisco, California, United States Lyft Full time $162,800 - $203,500 per yearAt Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive.The Experimentation team is the foundation for decision-making across Lyft. We build state-of-the-art randomized, non-randomized, and adaptive measurement methodologies and run a powerful...
Senior Machine Learning Engineer
2 weeks ago
is an early-stage startup tackling the
$1.5 trillion challenge of industrial plant reliability and performance
. Our mission is to transform plant performance from reactive firefighting to
autonomous, AI-driven operations
. We're building an
AI-first industrial agent platform
that combines machine learning with domain-specific industrial AI Agents. Our technology delivers real-time diagnostics, root cause analysis, and actionable recommendations at scale—drawing insights from unstructured documentation and live sensor streams. By reducing false positives, shortening time-to-resolution, and scaling expertise without reliance on data scientists, we're pioneering the future of industrial reliability.
With early pilots underway and strategic industry partnerships in place, is redefining plant health and performance for the next generation of industry.
The Role
We're looking for a
Senior GenAI Engineer
to join our seasoned founding team and help shape the future of our platform. You'll design and implement
agentic workflows, knowledge graphs, and multimodal extraction systems
that power enterprise-grade AI.
This is a hands-on role for someone who thrives in a fast-moving startup, is excited by hard technical challenges, and is driven to push the boundaries of AI in industrial resilience.
What You'll Do
- Lead engineering initiatives
to continuously enhance our GenAI platform, building scalable, distributed infrastructure for ML training, inference, and evaluation. - Design and deploy agentic workflows
across multi-cluster and cloud environments. - Define and communicate the long-term vision
for Spector's GenAI platform. - Mentor and guide engineers
, fostering a culture of collaboration, innovation, and technical excellence.
What We're Looking For (Must-Have)
- Advanced degree in Computer Science, Data Science, Applied Math, or Engineering.
- 8+ years of technical experience
building large-scale ML or GenAI systems. - Proven track record deploying
production-grade ML architectures
at scale. - Strong understanding of challenges in
real-world AI deployment
. - Excellent communication skills, with the ability to translate complex technical concepts for technical and business audiences.
- Experience working cross-functionally with domain experts, product teams, and engineers.
- Entrepreneurial mindset
: motivated, adaptable, and willing to take ownership from concept through implementation.
Nice to Have
- Experience with ML/statistical modeling.
- Exposure to industrial domains (asset management, reliability, operations).
- Experience building
real-time GenAI systems
or deploying edge-LLMs.
Compensation & Benefits
- Competitive salary + equity in a high-growth startup.
- Comprehensive health benefits (Medical, Dental, Vision).
