Engineering Jobs in Belvedere, CA

Stewart Automotive Group currently has an opening for an Automotive Mechanic and is looking for someone who is willing to grow in their automotive career.

Stewart Automotive has been a family owned dealership since 1933 and is looking for someone to join and grow in their family.

Knowledge; Skills and Abilities: Ability to perform general maintenance Perform repairs on brakes, suspension, steering components Perform diag/repairs on different types of engines and transmission.

Able to properly diagnosis electrical and drivability concerns Work on gas and diesel vehicles.

We are also looking for entry level technicians (lube technician): primary responsibilities will be to perform maintenance on vehicles (oil changes, fluid services, tire rotation, tire replacements, etc), perform new vehicle inspections Valid CA Driver License with a clean driving record 3-5 years of automotive experience ASE Certified is a plus but not a requirement Ability to work independently, but also assist other technicians when needed Able to lift 50 + pounds at a time Provide your own tools Must perform online and in class studies in order to keep up to date with all Chrysler Products.

Benefits: Competitive Pay + bonuses Paid holidays 401K; Medical/Dental Coverage, Sick Pay (after probation period) APPLY NOW

100% Remote! PhD required This Jobot Consulting Job is hosted by: Madeline Lazarus Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume.

Salary: $80
- $150 per hour A bit about us: We are a healthcare technology company looking for a senior, highly strategic Data Scientist role for someone with a strong econometrics, statistics, and economics background who is still deeply technical.

You will focus on: Translating complex data into strategic insights Supporting budget planning and financial decision-making Partnering with senior leadership (Chief Data Officer) Taking deep analytical work from concept to production Location: Remote Project Duration: 6-1 year with oppportunity to extend Why join us? High Caliber team Exciting work Edge AI frameworks for real-time intelligence across industries Image Processing pipelines for diagnostics, automation, and quality Mapping & Geospatial AI systems Healthcare forecasting & analytics platforms SDLC accelerators reducing development cycles dramatically Enterprise-grade Data Engineering platforms Job Details Key Responsibilities Advanced Econometrics & Financial Modeling expertise Full-stack AI/ML experience (research → production) Strategic judgment on model architectures and trade-offs Hands-on engineering ability (production-grade code) PhD-level rigor, patents, or experience at leading tech/financial innovators Required Background & Experience PhD preferred (Econometrics, Economics, Statistics, Applied Math, or related field) 10–15 years of experience in data science, econometrics, or advanced analytics Strong background in econometrics, statistical modeling, and economic analysis Proven experience working on strategic initiatives, not just analysis Experience partnering with finance leaders (CFOs, finance teams) on budgeting and planning Still hands-on and technical— hands on engineering able to dive into data and models personally Nice to Have Healthcare or healthtech exposure (not mandatory) Experience working with asset-intensive industries Prior consulting background Interested in hearing more? Easy Apply now by clicking the "Apply Now" button.

Jobot is an Equal Opportunity Employer.

We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws.

Jobot also prohibits harassment of applicants or employees based on any of these protected categories.

It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions.

Sometimes Jobot is required to perform background checks with your authorization.

Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance.

Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at /legal.

By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners.

Frequency varies for text messages.

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Carriers are not liable for delayed or undelivered messages.

You can reply STOP to cancel and HELP for help.

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Go Backend Engineer, Client Driven Startup, Great Benefits, Equity! This Jobot Job is hosted by: Patrick Murphy Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume.

Salary: $180,000
- $230,000 per year A bit about us: We’re partnering with a fast-growing digital health startup that’s transforming how patients and caregivers navigate complex medical journeys.

Founded and led by individuals who’ve lived through those experiences firsthand alongside veteran technologists, oncologists, and healthcare innovators, this team combines heart and technical excellence.

They’re backed by top-tier venture capital and already generating revenue from major industry partnerships.

If you’re looking for meaningful work that blends cutting-edge tech with real human impact, this is one to take seriously.

Why join us? Compensation & Perks: $180K–$230K base salary (depending on experience and fit, we are willing to go higher).

Equity and comprehensive health benefits.

Hybrid schedule (2 days/week onsite in San Francisco’s Financial District).

Unlimited PTO and flexible work culture.

High-impact role as the first in-house backend engineer — immediate ownership and growth path.

Job Details About the Role The team is building out its core engineering group in San Francisco and hiring a Senior Back-End Engineer (Golang) to take ownership of their existing backend systems and drive them to production readiness.

You’ll be the first in-house backend hire, giving you both immediate technical impact and long-term leadership potential as the team scales.

What You’ll Do: Take ownership of an existing Golang codebase and evolve it toward production scalability.

Architect, manage, and optimize cloud infrastructure (AWS) using Infrastructure-as-Code.

Build and refine CI/CD pipelines and deployment automation.

Design and develop APIs and backend features that directly affect users’ health journeys.

Collaborate closely with engineering leadership and product teams to shape technical direction.

Champion reliability, performance, and code quality across the backend stack.

What We’re Looking For: 5+ years of professional experience, including 3+ years with Golang.

Hands-on experience with RESTful APIs and Infrastructure-as-Code (Terraform, CloudFormation, or Pulumi).

Strong background in cloud infrastructure (AWS, GCP, or Azure) and CI/CD (Docker, GitHub Actions, etc.).

Proven success taking products from development to production.

Bonus points for: microservices, Kubernetes, healthcare or data privacy experience (HIPAA), and startup environments.

Interested in hearing more? Easy Apply now by clicking the "Apply Now" button.

Jobot is an Equal Opportunity Employer.

We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws.

Jobot also prohibits harassment of applicants or employees based on any of these protected categories.

It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions.

Sometimes Jobot is required to perform background checks with your authorization.

Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance.

Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at /legal.

By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners.

Frequency varies for text messages.

Message and data rates may apply.

Carriers are not liable for delayed or undelivered messages.

You can reply STOP to cancel and HELP for help.

You can access our privacy policy here: /privacy-policy

Patent Prosecution Attorney Role | Software & Emerging Tech | Multiple U.S.

Offices This Jobot Job is hosted by: Dana Paulo Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume.

Salary: $150,000
- $220,000 per year A bit about us: We are a leading Electronics & Software patent prosecution team supporting innovative technology companies across industries including AI, cloud computing, cybersecurity, mobile applications, and data systems.

Our attorneys are deeply technical, highly collaborative, and trusted partners to our clients in developing strategic, business-focused patent portfolios.

Why join us? This role is designed for patent attorneys who enjoy sophisticated prosecution work but are looking for a long-term, sustainable alternative to the traditional partnership track.

You’ll work on cutting-edge technologies, collaborate with experienced practitioners, and maintain strong client relationships — all while benefiting from a lower billable requirement, geographic flexibility, and a culture that values quality, collaboration, and balance.

Job Details Job Details: We are seeking an experienced Patent Prosecution Team Attorney to join our dynamic legal team.

This position offers an exciting opportunity to work on cutting-edge technologies with a focus on software technologies, artificial intelligence (AI), cloud computing, cybersecurity, encryption, and portfolio development.

The successful candidate will play a critical role in managing our client's patent portfolios, advising on intellectual property matters, and ensuring the protection of our client's inventions and ideas.

This position is ideally based in Denver, CO or San Francisco, CA.

The firm may also consider candidates located in the following offices: Atlanta, GA, Menlo Park, CA, Raleigh, NC, Seattle, WA, Walnut Creek, CA, Washington, DC Location flexibility is available for the right candidate, depending on experience and practice alignment.

Responsibilities: Draft and prosecute patent applications for a broad range of inventions in areas such as software technologies, AI, cloud computing, cybersecurity, and encryption.

Respond to office actions from patent offices around the world.

Conduct patentability, freedom-to-operate, and infringement analyses.

Provide strategic advice for patent portfolio development and management.

Counsel clients on a variety of intellectual property matters, including patent strategy, portfolio analysis, and patent prosecution.

Collaborate with technical experts to understand our client's technologies and business goals.

Conduct legal research and stay updated on recent case laws and developments in areas related to software technologies, AI, cybersecurity, and encryption.

Prepare and deliver presentations and training to clients on intellectual property matters.

Qualifications: Juris Doctor (JD) degree from an accredited law school.

Admitted to practice before the U.S.

Patent and Trademark Office.

Minimum of 3 years of experience in patent prosecution, preferably in the areas of software technologies, AI, and cloud computing.

Bachelor’s or higher degree in computer science, electrical engineering, or a related field.

Strong technical understanding of software technologies, AI, cloud computing, cybersecurity, and encryption.

Proven experience in drafting patent applications and responding to office actions.

Excellent technical writing skills with the ability to simplify complex concepts.

Strong client counseling and communication skills.

Ability to work independently and collaboratively in a team-oriented environment.

Demonstrated ability to manage multiple projects, prioritize tasks, and meet deadlines.

Strong commitment to professional development and continuous learning.

High ethical standards and professional integrity.

This is an exciting opportunity to be at the forefront of patent law in the rapidly evolving technology sector.

If you are a seasoned patent attorney with a passion for innovation and technology, we encourage you to apply.

Please send interest and transcripts to /> Interested in hearing more? Easy Apply now by clicking the "Apply Now" button.

Jobot is an Equal Opportunity Employer.

We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws.

Jobot also prohibits harassment of applicants or employees based on any of these protected categories.

It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions.

Sometimes Jobot is required to perform background checks with your authorization.

Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance.

Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at /legal.

By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners.

Frequency varies for text messages.

Message and data rates may apply.

Carriers are not liable for delayed or undelivered messages.

You can reply STOP to cancel and HELP for help.

You can access our privacy policy here: /privacy-policy

An innovative AI-driven technology company is seeking a Staff Backend Engineer to help build the core infrastructure behind its real-time platform This Jobot Job is hosted by: Tarek Hamzeh Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume.

Salary: $200,000
- $275,000 per year A bit about us: Staff Backend Engineer Location: San Francisco, CA (On-site / Relocation Available) About the Role An innovative AI-driven technology company is seeking a Staff Backend Engineer to help build the core infrastructure behind its real-time platform used by professionals in high-stakes environments.

As a senior engineer, you’ll architect and scale critical backend systems, influence key technical decisions, and lead major product initiatives that directly impact end users.

This role is ideal for someone who thrives in fast-paced, high-growth startup environments and wants to shape the long-term technical foundation of a mission-driven product.

Why join us? Innovative Impact: Join a fast-growing healthcare technology company transforming the way clinicians deliver care with cutting-edge AI solutions.

Collaborative Culture: Work alongside passionate, cross-functional teams that value creativity, problem-solving, and real-world impact.

Career Growth: Opportunities to lead high-impact projects, shape product direction, and grow in a supportive, mission-driven environment.

San Francisco Location: Be part of a vibrant tech hub with access to industry events, networking, and a thriving professional community.

Job Details What You’ll Do Design and architect major backend features that leverage cutting-edge AI to deliver seamless user experiences.

Anticipate scaling challenges and proactively re-architect systems to ensure reliability, performance, and long-term stability.

Lead high-impact product and infrastructure initiatives, driving rapid iteration while minimizing technical debt.

Own the full lifecycle of significant technical projects—from system design to deployment.

Help establish engineering standards, processes, and best practices to support a high-quality, fast-moving development culture.

Who You Are 5+ years of experience building and scaling backend systems, especially in distributed environments.

Skilled in modern infrastructure and backend tooling, such as: Cloud platforms (AWS, GCP) Containers (Docker) Messaging/queuing systems (Kafka) Relational databases (Postgres) Capable of deep hands-on technical work while also mentoring engineers and influencing architectural direction.

Adept at owning end-to-end execution and navigating complex technical trade-offs.

Comfortable operating in environments with ambiguity and rapid change.

Values collaboration, kindness, and contributing to a positive, mission-aligned engineering culture.

Healthcare experience not required—startup experience and adaptability are highly valued.

Work Environment This role is hybrid, with in-office collaboration 3 days per week at the San Francisco office.

Interview Process Recruiter Screen – Introductory conversation to align on experience, interest, and role expectations.

Technical Phone Interview – A 1-hour live coding session focused on progressive data structures and algorithms problems.

Work Trial Project – A compensated take-home assignment simulating real backend work, including system design and scalability considerations.

Final Panel – Hiring Manager Interview: Deep dive into your experience, achievements, and career progression.

Behavioral Interview: Discussion around impactful projects, problem-solving approaches, and collaboration style.

Interested in hearing more? Easy Apply now by clicking the "Apply Now" button.

Jobot is an Equal Opportunity Employer.

We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws.

Jobot also prohibits harassment of applicants or employees based on any of these protected categories.

It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions.

Sometimes Jobot is required to perform background checks with your authorization.

Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance.

Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at /legal.

By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners.

Frequency varies for text messages.

Message and data rates may apply.

Carriers are not liable for delayed or undelivered messages.

You can reply STOP to cancel and HELP for help.

You can access our privacy policy here: /privacy-policy

This Jobot Job is hosted by: Christina Finster Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume.

Salary: $150,000
- $180,000 per year A bit about us: Our client builds agentic automation software for credit unions and community banks, turning slow, error-prone loan operations into fast, autonomous, and reliable workflows.

Our platform orchestrates document ingestion, data validation, borrower communication, and downstream integrations using autonomous agents that must be correct, observable, and resilient.

This is production software.

Failures matter.

Observability is required.

Ownership is non-negotiable.

For the past decade, we’ve mastered deploying autonomous agents in one of the most tightly controlled industries — even engineering ways to operate without APIs in systems designed to resist automation.

Today, we’re building Agent Valeria, the first-ever indirect loan packet reviewer that can audit applications end-to-end and deliver compliance decisions autonomously.

By solving the slowest, most error-prone part of lending, we are accelerating lending velocity, reducing mistakes, and reshaping how banks and credit unions work.

This is a rare greenfield opportunity to leave a lasting mark on an entire industry, building systems that matter, reshape how work is done, and endure.

We are a lean, bootstrapped team operating 15+ customer systems at scale.

Every engineer carries meaningful responsibility.

We are self-sustaining and control our financial destiny.

Why join us? Big impact – Join a core team where your code directly affects users and outcomes.

Hands-on autonomy – You’ll own projects end-to-end and help shape system architecture from the ground up.

Smart, no-fluff culture – Work with a team that values clarity, extreme ownership, and fast iteration.

Mission-driven – Build tools that help community banks compete in a world of megafintech.

Startup agility – Ship daily.

Influence product.

Leave a legacy.

If you like building durable, production-grade systems that solve real problems—and doing it alongside talented engineers who care deeply about their craft—this is the place.

Job Details The Role (Read-Carefully): This is a hands-on, senior individual contributor role on a small, high-throughput platform team.

You will own and operate real production systems.

You will ship to production early.

You will be on-call for the systems you touch.

You will be expected to design your part well — and live with the consequences.

This role is not about exploration, endless design, or theoretical elegance.

It is about turning ambiguity into working systems under pressure.

If you are looking for: A gentle ramp A large team with safety nets A role where someone else owns production This is not the job.

What You Will Do: Own one or more production agent workflows or platform components end-to-end Build and operate event-driven systems processing thousands of records per job and millions of events per day Design for failure: retries, DLQs, isolation boundaries, alarms, and recovery paths Add telemetry and dashboards to understand job state, throughput, and failure modes Ship changes safely using CI/CD checks and deployment guardrails Participate in on-call rotation and incident response Debug production issues with incomplete information and time pressure Make tradeoffs explicit and ship decision artifacts (code, docs, fixes) Improve code quality, tests, and operational clarity in areas you own Work closely with the CEO, COO, and senior engineer on real system constraints What You Bring (Non-negotiable): Strong backend experience in any modern language (Ruby, Python, Go, Java, etc.) Ability and willingness to learn Ruby if it is new to you Hands-on experience shipping and operating production systems you personally supported Real-world AWS experience, especially Lambda, SQS, EventBridge, S3, CloudWatch Firsthand experience with: Lambda limits and failure modes Retries, DLQs, timeouts, and backpressure Cost, blast radius, and operational tradeoffs Comfort making decisions with incomplete data and shipping anyway Willingness to be on-call and accountable for outcomes Clear communicator who externalizes thinking and closes loops Disqualifiers (Read Honestly) Only academic, tutorial, or toy-project experience No on-call or incident ownership “I was part of the team” without first-person responsibility Service-name listing without discussion of outcomes or tradeoffs Preference for extended exploration over shipping Avoidance of pressure, accountability, or ownership Nice to Have Experience in fintech, banking, or regulated environments Exposure to automation, orchestration, or workflow engines Experience operating multi-tenant systems at scale Familiarity with CI/CD pipelines and deployment safety mechanisms How We Work Small team.

Real ownership.

We ship frequently.

We design for failure.

We expect engineers to understand how their code behaves in production.

We value clarity, judgment, and durability over polish.

Feedback is direct.

Responsibility is real.

The Reality Check This is a small tiger team.

Long hours at times.

Occasional weekends.

Ambiguous problems.

Little guidance.

Solo ownership.

Average pay.

High responsibility.

Failure is possible.

In return: Meaningful ownership Recognition The chance to build systems that matter — and last Growth Path This role is already senior in responsibility.

Success means: You reliably own and operate production systems You reduce failure rates and improve visibility You earn deeper architectural ownership through trust, not tenure Professional and financial growth comes from taking on meaningful responsibility and delivering outcomes that enable Shastic to seize a rare, high-impact opportunity.

Interested in hearing more? Easy Apply now by clicking the "Apply Now" button.

Jobot is an Equal Opportunity Employer.

We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws.

Jobot also prohibits harassment of applicants or employees based on any of these protected categories.

It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions.

Sometimes Jobot is required to perform background checks with your authorization.

Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance.

Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at /legal.

By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners.

Frequency varies for text messages.

Message and data rates may apply.

Carriers are not liable for delayed or undelivered messages.

You can reply STOP to cancel and HELP for help.

You can access our privacy policy here: /privacy-policy

Hybrid Remote
- Reputable & Well Known Structural Engineering Firm in SF
- Excellent Benefits + Upward Mobility This Jobot Job is hosted by: Caitlyn Hardy Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume.

Salary: $90,000
- $105,000 per year A bit about us: Since the 1960s, we have been committed to providing our clients with exceptional geotechnical, structural, and building systems engineering.

We are a reputable firm and our clients include high-profile tech companies, labs, hospitals, and universities.

Our diverse portfolio includes challenging projects from simple building remodels to tenant improvement projects to complex structural alterations.

We are hiring a Structural Designer with 2+ years of relevant experience to join our Building Systems Engineering group.

In this role, you will be involved with designing supports for architectural features and components, seismic anchorage and bracing of equipment, structural evaluation, and retrofit design.

Why join us? Multiple medical plan options including PPO and HSA Dental and vision insurance Pre-tax flex spending and transit plans Paid personal time off Retirement plans including 401(k) plan Continuing education allowance Hybrid workplace Job Details REQUIRED o A master’s degree (preferred), or 5-year Architectural Engineering degree o Strong background in seismic design of nonstructural components per ASCE Chapter 13 and HCAI CBC Chapter A o 2 to 5 years of professional engineering experience o Excellent verbal and written skills DESIRED o Solid analytical and detailing skills o Skill using 3D modeling programs such as Revit, AutoCAD 3D and Navisworks o Experience in construction administration o Familiarity with OPDs and OSPs for HCAI projects o Professional registration a plus Interested in hearing more? Easy Apply now by clicking the "Apply Now" button.

Jobot is an Equal Opportunity Employer.

We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws.

Jobot also prohibits harassment of applicants or employees based on any of these protected categories.

It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions.

Sometimes Jobot is required to perform background checks with your authorization.

Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance.

Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at /legal.

By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners.

Frequency varies for text messages.

Message and data rates may apply.

Carriers are not liable for delayed or undelivered messages.

You can reply STOP to cancel and HELP for help.

You can access our privacy policy here: /privacy-policy

You'll identify high-impact opportunities where AI-powered solutions can replace manual processes, enhance decision-making, and create more efficient operations that allow our teams to focus on higher-value work.

This Jobot Job is hosted by: Christina Finster Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume.

Salary: $100,000
- $110,000 per year A bit about us: Our client is redefining what it means to feel at home—whether you’re traveling for business, leisure, or something in between.

They’ve built a technology-powered hospitality platform that transforms apartments, hotels, and unique properties into stylish, reliable stays across the country.

By combining the consistency of a trusted brand with the charm of local living, they make travel seamless, flexible, and accessible for modern guests.

At their core, they’re problem-solvers: using data, design, and hospitality expertise to make every stay frictionless.

Their approach blends high-tech automation with human-centered service, allowing them to scale quickly while still delivering warm, thoughtful guest experiences.

We’re proud to partner with a team that’s not only changing the landscape of modern hospitality but also deeply values innovation, collaboration, and creating opportunities for growth.

Why join us? Joining this team means being part of a fast-growing, venture-backed company with a bold vision: to revolutionize how people experience travel and hospitality.

You’ll work alongside passionate builders, innovators, and operators who thrive at the intersection of real estate, technology, and guest experience.

Here’s why people love working here: Impactful Work: Your contributions directly shape how thousands of guests experience travel every day.

Innovation-Driven Culture: You’ll collaborate with people who embrace technology and creative problem-solving.

Growth Opportunities: With rapid expansion nationwide, there’s endless room for personal and professional development.

Flexibility & Autonomy: They value ownership and trust—giving you the freedom to do your best work.

Mission with Heart: At the end of the day, it’s all about creating meaningful, memorable experiences for guests and partners.

Job Details As an AI Automation Specialist, you’ll drive operational efficiency by identifying, designing, and implementing intelligent automation solutions across the organization.

You’ll partner with leaders in Operations, Finance, HR, Guest Services, and more—bridging business needs with technical implementation.

You’ll leverage AI tools, automation platforms, and system integrations to eliminate repetitive tasks, reduce human error, and unlock scalability.

From API integrations to multi-step workflow design, you’ll be at the forefront of transforming how the business operates.

What You’ll Do Identify workflow bottlenecks and design automation solutions to improve efficiency.

Build and maintain integrations (APIs, webhooks) that connect systems and create seamless data flows.

Implement modern orchestration platforms (Zapier, n8n, Make, etc.) for multi-step workflows.

Deploy AI-powered automations to enhance decision-making and data processing.

Develop monitoring dashboards and alerting systems for process performance.

Collaborate with engineering teams on scalable technical implementations.

Document, train, and evangelize automation best practices across teams.

Track metrics like time saved, error reduction, and productivity improvements.

What They’re Looking For Process Optimizer: You see inefficiencies and naturally think about smarter, automated ways to solve them.

Technical Fluency: Strong experience with Python, SQL, APIs, and system integrations.

Automation Toolkit: Skilled with orchestration platforms (Zapier, n8n, Make, etc.).

AI Enthusiast: Experience applying AI tools to workflow automation.

Communicator: Able to explain technical solutions to non-technical audiences.

Collaborator: Comfortable working across departments and with engineering teams.

Adaptable: Thrive in a dynamic, high-growth environment.

Preferred Qualifications 4+ years in automation engineering, BI, or technical operations.

Hands-on experience with APIs, REST/GraphQL integrations, and data pipelines.

Experience implementing automations across multiple business functions.

Familiarity with cloud services and orchestration design patterns.

Interested in hearing more? Easy Apply now by clicking the "Apply Now" button.

Jobot is an Equal Opportunity Employer.

We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws.

Jobot also prohibits harassment of applicants or employees based on any of these protected categories.

It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions.

Sometimes Jobot is required to perform background checks with your authorization.

Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance.

Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at /legal.

By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners.

Frequency varies for text messages.

Message and data rates may apply.

Carriers are not liable for delayed or undelivered messages.

You can reply STOP to cancel and HELP for help.

You can access our privacy policy here: /privacy-policy

Machine Learning Engineer
- Fulltime/Permanent REMOTE position This Jobot Job is hosted by: Dallas Gillespie Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume.

Salary: $150,000
- $180,000 per year A bit about us: Full-time, fully remote position with excellent benefits Candidates must live in the PST or MDT time zones.

CST zone candidates will be considered.

EST Candidates are not eligible.

Why join us? We value you! Our impressive benefits package, bonus potential, and salary reflect that! Work somewhere you are recognized for your contributions! Apply Today! Job Details Minimum Education: Bachelor’s degree in computer science, artificial intelligence, informatics or closely related field.

Master’s degree in computer science, engineering or closely related field preferred.

Minimum Experience: 3 or more years of relevant Machine Learning Engineer Experience.

Proven experience with: Artificial intelligence and machine learning platforms (e.g., AWS, Azure or GCP).

Containerization technologies (e.g., Docker) or container orchestration platforms (e.g., Kubernetes).

CI/CD tools (e.g., Github Actions).

Programming languages and frameworks (e.g., Python, R, SQL).

MLOps engineering principles, agile methodologies, and DevOps life-cycle management.

Technical writing and documentation for AI/ML models and processes.

Healthcare data and machine learning use cases.

Healthcare Expertise: Understanding of healthcare regulations and standards, and familiarity with Electronic Health Records (EHR) systems, including integrating machine learning models with these systems.

REQUIRED qualifications: Experience in managing end-to-end ML lifecycle.

Experience in managing automation with Terraform.

Containerization technologies (e.g., Docker) or container orchestration platforms (e.g., Kubernetes).

CI/CD tools (e.g., Github Actions).

Programming languages and frameworks (e.g., Python, R, SQL).

Deep understanding of coding, architecture, and deployment processes Strong understanding of critical performance metrics.

Extensive experience in predictive modeling, LLMs, and NLP Exhibit the ability to effectively articulate the advantages and applications of the RAG framework with LLMs Accountabilities: Production Deployment and Model Engineering: Proven experience in deploying and maintaining production-grade machine learning models, with real-time inference, scalability, and reliability.

Scalable ML Infrastructures: Proficiency in developing end-to-end scalable ML infrastructures using on-premise cloud platforms such as Amazon Web Services (AWS), Google Cloud Platform (GCP), or Azure.

Engineering Leadership: Ability to lead engineering efforts in creating and implementing methods and workflows for ML/GenAI model engineering, LLM advancements, and optimizing deployment frameworks while aligning with business strategic directions.

AI Pipeline Development: Experience in developing AI pipelines for various data processing needs, including data ingestion, preprocessing, and search and retrieval, ensuring solutions meet all technical and business requirements.

Collaboration: Demonstrated ability to collaborate with data scientists, data engineers, analytics teams, and DevOps teams to design and implement robust deployment pipelines for continuous improvement of machine learning models.

Continuous Integration/Continuous Deployment (CI/CD) Pipelines: Expertise in implementing and optimizing CI/CD pipelines for machine learning models, automating testing and deployment processes.

Monitoring and Logging: Competence in setting up monitoring and logging solutions to track model performance, system health, and anomalies, allowing for timely intervention and proactive maintenance.

Version Control: Experience implementing version control systems for machine learning models and associated code to track changes and facilitate collaboration.

Security and Compliance: Knowledge of ensuring machine learning systems meet security and compliance standards, including data protection and privacy regulations.

Documentation: Skill in maintaining clear and comprehensive documentation of ML Ops processes and configurations.

Interested in hearing more? Easy Apply now by clicking the "Apply Now" button.

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