software engineer

data engineer

junior software engineer Jobs in San Francisco

junior software engineer

ai/ml engineer

applied ai engineer Jobs in San Francisco

applied ai engineer

automation engineer

Realign

<div>San Francisco, California 94016 Posted February 24th, 2026
 <div></div>Looking for more job opportunities? Click here!</div>
 <div>Job Type: Contract
Job Category: IT
Job Description
Role: Sr. AI/ML Engineer<ul><li> Experience &ndash; 10+ Years</li><li> Location - San Francisco, CA &ndash; LOCALS Only</li></ul><div>
Required Qualifications 
<ul><li>Deep expertise in Machine Learning, Generative AI, LLMs, RAG, and AI orchestration.</li><li>Strong understanding of Azure OpenAI, AWS Bedrock, or similar platforms.</li><li>Experience deploying AI in regulated environments.</li><li>Hands-on architectural and engineering leadership capabilities.</li><li>Strong communication skills with VP/Senior Director stakeholders.</li></ul>
 Preferred Qualifications 
<ul><li>12+ years in AI/ML, data engineering, or digital transformation.</li><li>Prior experience leading enterprise AI programs.</li><li>Utility domain experience (wildfire, grid, operations).</li><li>Knowledge of Responsible AI frameworks (NIST AI RMF, ISO 42001).</li></ul> 

Roles &amp; Responsibilities 
Role Overview 
Utilities are accelerating their enterprise AI adoption across Operations, Customer Experience, Wildfire Safety, Regulatory, and IT. The AI Lead will serve as the strategic driver for enterprise AI transformation&mdash;defining vision, governance, enterprise architecture, and leading delivery of high-impact GenAI and ML solutions.</div><div> 
Key Responsibilities 
<ul><li>Define the enterprise AI vision, roadmap, and operating model.</li><li>Identify and prioritize AI/ML/GenAI opportunities across business units.</li><li>Drive design and deployment of AI solutions including consultation agents, hazard detection, regulatory Q&amp;A automation, and contact center assistants.</li><li>Establish AI governance, compliance, model risk management, and auditability frameworks.</li><li>Lead cross-functional AI programs spanning IT, Operations, Customer Care, Regulatory, Safety, and Field Ops.</li><li>Mentor and guide data scientists, ML engineers, architects, and product owners.</li><li>Promote AI literacy, change management, and best practices across the enterprise.</li></ul></div>
Required Skills
DEVOPS ENGINEER SENIOR EMAIL SECURITY ENGINEER</div>

Sr. AI/ML Engineer-4

Foundation Robotics Labs Inc.

<div>About Foundation:
Foundation is developing the future of general purpose robotics with the goal to address the labor shortage.
Our mission is to create advanced robots that can operate in complex environments, reducing human risk in conflict zones and enhancing efficiency in labor-intensive industries.
We are on the lookout for extraordinary engineers and scientists to join our team. Your previous experience in robotics isn't a prerequisite &mdash; it's your talent and determination that truly count.
We expect that many of our team members will bring diverse perspectives from various industries and fields. We are looking for individuals with a proven record of exceptional ability and a history of creating things that work.
Our Culture:
We like to be frank and honest about who we are, so that people can decide for themselves if this is a culture they resonate with. Please read more about our culture here https://foundation.bot/culture. 
Who should join<ul><li>
You like working in person with a team in San Francisco.</li><li>
You deeply believe that this is the most important mission for humanity and needs to happen yesterday.</li><li>
You are highly technical - regardless of the role you are in. We are building technology; you need to understand technology well.</li><li>
You care about aesthetics and design inside out. If it's not the best product ever, it bothers you, and you need to &ldquo;fix&rdquo; it.</li><li>
You don't need someone to motivate you; you get things done.</li></ul>
Why We Are Hiring for This Role<ul><li>
Lead and support software bring-up for new robot hardware, including sensors, actuators, and embedded systems.</li><li>
Integrate and validate firmware, middleware, and control software modules on humanoid platforms.</li><li>
Develop and maintain automated test frameworks for software validation,</li><li>
Hardware-in-the-loop (HIL) testing for actuators, and end-of-line manufacturing tests.</li><li>
Design and execute functional and performance tests across locomotion, perception,</li><li>
manipulation, and other robotic subsystems.</li><li>
Collaborate closely with mechanical, electrical, and software engineering teams to debug system-level issues.</li><li>
Build tools and infrastructure to monitor robot behavior, collect logs, and track test results.</li><li>
Document integration and test procedures and contribute to internal best practices for continuous testing and deployment.</li></ul>
What Kind of Person We Are Looking For:<ul><li>
Strong debugging and troubleshooting skills across hardware and software interfaces</li><li>
Proficient in Java &amp; Python.</li><li>
Familiarity with manufacturing test systems and end-of-line testing processes.</li><li>
Experience with real-time systems, and embedded device communication (e.g., EtherCat, CAN, I2C, SPI, UART).</li><li>
Familiarity with test automation tools, CI/CD pipelines, and version control (Git).</li><li>
Experience working with humanoid or legged robots.</li><li>
Exposure to hardware-in-the-loop (HIL) simulation and real-time test frameworks.</li><li>
Background in fast-paced startups or hardware prototyping environments</li><li>
4-5+ years of work experience in robotics software integration, embedded systems, or test automation.</li><li>
Bachelor&rsquo;s or Master&rsquo;s degree in Robotics, Computer Engineering, Electrical Engineering, or related field.</li></ul> 
Benefits:
We provide market standard benefits (health, vision, dental, 401k, etc.). Join us for the culture and the mission, not for the benefits. 
Salary:
The annual compensation is expected to be between $135,000 - $160,000. Exact compensation may vary based on skills, experience, and location.</div>

Automation Hardware & Software Integration Engineer

<div>About Us:
Foundation is developing the future of general purpose robotics with the goal to address the labor shortage.
Our mission is to create advanced robots that can operate in complex environments, reducing human risk in conflict zones and enhancing efficiency in labor-intensive industries.
We are on the lookout for extraordinary engineers and scientists to join our team. Your previous experience in robotics isn't a prerequisite &mdash; it's your talent and determination that truly count.
We expect that many of our team members will bring diverse perspectives from various industries and fields. We are looking for individuals with a proven record of exceptional ability and a history of creating things that work.
Our Culture:
We like to be frank and honest about who we are, so that people can decide for themselves if this is a culture they resonate with. Please read more about our culture here: https://foundation.bot/culture.
Who should join:<ul><li>
You like working in person with a team in San Francisco.</li><li>
You deeply believe that this is the most important mission for humanity and needs to happen yesterday.</li><li>
You are highly technical - regardless of the role you are in. We are building technology; you need to understand technology well.</li><li>
You care about aesthetics and design inside out. If it's not the best product ever, it bothers you, and you need to &ldquo;fix&rdquo; it.</li><li>
You don't need someone to motivate you; you get things done.</li></ul> 
We are building the manufacturing system that will scale humanoid robots into the real world. This role exists to turn engineering intent into production reality &mdash; fast.
You will design, build, and launch manufacturing systems that take complex electromechanical products from prototype to repeatable, scalable production. This is not a maintenance role. This is a factory-building role.
We are looking for someone who has already lived through high-pressure manufacturing ramps &mdash; ideally in EV drive unit, battery module, or battery pack production &mdash; and understands what it takes to deliver when timelines are aggressive and ambiguity is high.
What You Will Own:<h3 class="jobSectionHeader">
Factory &amp; Production System Architecture</h3><ul><li>
Own end-to-end design of humanoid robot manufacturing lines and production cells.</li><li>
Build scalable manufacturing systems designed for aggressive robot-per-day ramp targets.</li><li>
Define factory layout, material flow, line balance, takt time, and staffing strategy.</li><li>
Make practical engineering tradeoffs between automation, flexibility, and speed.</li></ul> 
Automation &amp; Tooling<ul><li>
Architect and deploy automated and semi-automated assembly lines.</li><li>
Design production tooling, fixtures, and error-proofing systems that work reliably on real factory floors.</li><li>
Drive automation decisions based on throughput and stability &mdash; not automation for its own sake.</li><li>
Lead vendor integration and line bring-up with strong execution ownership.</li></ul> 
Drive Unit &amp; Battery Manufacturing Expertise<ul><li>
Apply hands-on experience from EV drive unit, battery module, or battery pack manufacturing.</li><li>
Build robust assembly processes for actuators, power systems, and electromechanical subsystems.</li><li>
Lead pilot builds, process validation, and production launch.</li><li>
Drive aggressive improvements in yield, cycle time, and line stability.</li></ul><h3 class="jobSectionHeader">
Assembly &amp; End-of-Line Validation</h3><ul><li>
Design assembly line architecture from subassembly through final robot integration.</li><li>
Build end-of-line testing systems validating mechanical, electrical, and functional performance.</li><li>
Ensure traceability and data feedback loops that drive rapid problem solving.</li><li>
Design test systems that help engineering move faster &mdash; not slower. 
 
Execution &amp; Technical Leadership</li></ul><ul><li>
Push DFM/DFA decisions early and aggressively.</li><li>
Lead PFMEA and production readiness with a bias toward action.</li><li>
Solve problems directly on the line when needed.</li><li>
Raise execution standards across engineering and manufacturing teams. 
 
Required Experience</li></ul><ul><li>
Bachelor&rsquo;s or Master&rsquo;s degree in Mechanical Engineering or related field.</li><li>
8+ years building and launching manufacturing systems in advanced hardware environments.</li><li>
Proven track record bringing lines from concept pilot production ramp.</li><li>
Deep hands-on experience with:</li><li><div><ul><li>
EV drive unit manufacturing</li><li>
Battery module or battery pack manufacturing</li>
Automated assembly and production tooling 
<li>
</li></ul></div></li><li>
Strong experience with assembly line design, takt planning, and manufacturing scaling.</li><li>
Experience designing and deploying end-of-line testing systems.</li><li>
Comfortable working directly on the factory floor to resolve issues.</li></ul><h2 class="jobSectionHeader">
Preferred Background</h2><ul><li>
Robotics or humanoid manufacturing experience.</li><li>
Startup or high-growth production environments.</li><li>
Automation integration, industrial robotics, and controls exposure.</li><li>
Experience scaling complex electromechanical systems under aggressive timelines.</li></ul>
Who Thrives Here<ul><li>
Builders who execute fast and own outcomes.</li><li>
Engineers who prefer solving problems over discussing them.</li><li>
People comfortable with ambiguity and rapid iteration.</li><li>
Hands-on leaders who lead by doing.</li><li>
Individuals who take responsibility beyond their job description.</li></ul>
What Success Looks Like<ul><li>
Manufacturing lines running stable under aggressive schedules.</li><li>
Throughput and yield improving continuously during ramp.</li><li>
Automation deployed where it creates real leverage.</li><li>
Factory systems capable of scaling humanoid production rapidly.</li><li>
Problems solved at the source, not passed downstream.</li></ul>
Benefits:
We provide market standard benefits (health, vision, dental, 401k, etc.). Join us for the culture and the mission, not for the benefits.
Salary:
The annual compensation is expected to be between $155,000 - $185,000+. Exact compensation may vary based on skills, experience, and location.</div>

Senior Mechanical Manufacturing Engineer — Humanoid Robot Factory

CRUSOE

<div>Crusoe's mission is to accelerate the abundance of energy and intelligence. We&rsquo;re crafting the engine that powers a world where people can create ambitiously with AI &mdash; without sacrificing scale, speed, or sustainability.
Be a part of the AI revolution with sustainable technology at Crusoe. Here, you'll drive meaningful innovation, make a tangible impact, and join a team that&rsquo;s setting the pace for responsible, transformative cloud infrastructure.
About This Role:
The Networking Engineering team at Crusoe designs, builds, and deploys the critical network infrastructure that powers our AI-optimized cloud. The team owns connectivity across the edge, backbone, and data center fabrics to ensure high-performance networking for GPU-intensive workloads. They focus on large-scale network deployment, capacity expansion, and operational excellence, bringing new infrastructure online while maintaining reliability across a globally distributed footprint.
What You&rsquo;ll Be Working On:<ul><li>
Gain a foundational understanding of production networks and their complexities.</li><li>
Learn about common deployment challenges faced by the Network deployment team and explore ways to automate those workflows.</li><li>
Design and develop tools to streamline network deployment.</li><li>
Collaborate with the Tools and Observability team to understand how production-scale tools are built and maintained.</li></ul>
What You&rsquo;ll Bring to the Team:<ul><li>
Educational Background: Graduating with a Bachelor&rsquo;s or Master&rsquo;s program in Computer Science, Networking, or a related field, with a graduation date between December 2025 or Spring 2026.</li><li>
Networking Knowledge: Solid understanding of TCP/IP fundamentals and the networking stack.</li><li>
Scripting Skills: Proficiency in scripting with languages such as Python, Golang, or similar, focusing on automation.</li><li>
Soft Skills: Strong analytical thinking, communication, and teamwork abilities, with a fast-learning mindset and adaptability across teams.</li></ul>
What You&rsquo;ll Gain:<ul><li>
Real-world experience working with AI/ML-driven production networks and automating key operational workflows.</li><li>
Insight into the daily challenges of network operations/deployment and how automation can solve them.</li><li>
A broader perspective on the role of networking within software development and system architecture.</li><li>
The chance to make a meaningful impact by contributing to improving network and deployment / operational processes.</li></ul>
Benefits:<ul><li>
Industry Competitive pay</li><li>
Restricted Stock Units in a fast growing, well-funded technology company</li><li>
Health insurance package options that include HDHP and PPO, vision, and dental for you and your dependents</li><li>
Employer contributions to HSA accounts</li><li>
5 days in office</li><li>
Paid Parental Leave</li><li>
Paid life insurance, short-term and long-term disability</li><li>
Teladoc</li><li>
401(k) with a 100% match up to 4% of salary</li><li>
Generous paid time off and holiday schedule</li><li>
Cell phone reimbursement</li><li>
Tuition reimbursement</li><li>
Subscription to the Calm app</li><li>
MetLife Legal</li><li>
Company paid commuter benefit; $300/month</li></ul>
Compensation Range
Compensation will be paid in the range of up to $100,000-117,000 + Bonus. Restricted Stock Units are included in all offers. Compensation to be determined by the applicants knowledge, education, and abilities, as well as internal equity and alignment with market data.
Crusoe is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation.</div>

Network Engineer, New College Graduate

Call For Referral

<div>
 
 
 Machine Learning Engineer
 
 
 
 
 Work Mode:
 
 
 Remote
 
 
 
 
 Compensation:
 
 
 $100&ndash;$120 per hour
 
 
 
 
 Work Type:
 
 
 Hourly, Independent
 
 
 
 
 Role Overview
 
 
 
 This role supports the evaluation of
 
 advanced machine learning systems
 
 in collaboration with
 
 leading AI research initiatives
 
 . It is intended for
 
 experienced machine learning engineers and researchers
 
 who can contribute to the development of
 
 high-quality evaluation suites
 
 that measure AI performance on
 
 real-world machine learning engineering tasks
 
 .
 
 
 The work focuses on translating
 
 practical ML research and engineering workflows
 
 into
 
 structured benchmarks
 
 for
 
 frontier models
 
 . This is a
 
 project-based, fully remote
 
 opportunity for professionals with
 
 strong hands-on ML research and engineering experience
 
 .
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 
 Design and develop
 
 detailed evaluation suites for machine learning engineering tasks
 </li>
 <li>
 
 Evaluate AI-generated solutions
 
 across model training, debugging, optimization, and experimentation workflows
 </li>
 <li>
 
 Analyze and document
 
 system behavior, performance characteristics, and limitations
 </li>
 <li>
 
 Contribute to the creation of benchmarks
 
 that reflect real-world ML engineering practices
 </li>
 <li>
 
 Maintain high standards
 
 of technical accuracy, clarity, and consistency in all deliverables
 </li>
 </ul>
 
 
 Qualifications
 
 
 <ul>
 <li>
 
 3+ years
 
 of experience in machine learning engineering or applied ML research
 </li>
 <li>
 
 Hands-on experience
 
 with model development, experimentation, and evaluation
 </li>
 <li>
 
 Background in ML research
 
 in an industry or academic setting (strongly preferred)
 </li>
 <li>
 
 Strong ability
 
 to reason about ML system design choices and technical trade-offs
 </li>
 <li>
 
 Excellent written communication skills
 
 and
 
 high attention to technical detail
 
 </li>
 </ul>
 
 
 Work &amp; Payment Details
 
 
 <ul>
 <li>
 You will operate as an
 
 independent professional
 
 </li>
 <li>
 This is a
 
 fully remote
 
 role with a
 
 flexible schedule
 
 </li>
 <li>
 Projects may be
 
 extended, shortened, or concluded
 
 based on needs and performance
 </li>
 <li>
 The work does
 
 not involve access to confidential or proprietary information
 
 from any employer, client, or institution
 </li>
 <li>
 
 Payments are made weekly
 
 via
 
 Stripe or Wise
 
 , based on services delivered
 </li>
 <li>
 Candidates requiring
 
 H1-B or STEM OPT
 
 sponsorship are
 
 not supported
 
 at this time
 </li>
 </ul>
 
 
 Application &amp; Onboarding Process
 
 
 <ul>
 <li>
 
 Upload your resume
 
 </li>
 <li>
 
 AI interview:
 
 A short
 
 15-minute
 
 conversational session to understand your background, experience, and interest in the role
 </li>
 <li>
 
 Follow-up communication
 
 within a few days with next steps and onboarding details
 </li>
 </ul>
 
 
</div>

Machine Learning Engineer (Remote)  $100 –$120/hr

Arcade

<div>
 
 About Arcade
 
 
 
 Arcade is building the world&rsquo;s first AI physical product creation platform, where imagination becomes reality. Our platform lets anyone design, purchase, and sell custom, manufacturable products using natural language and generative AI. We believe everyone should have the power to create physical goods as easily as they post online, and we&rsquo;re building the infrastructure to make that real.
 
 
 We&rsquo;ve raised $42M from a world-class group of investors, including Reid Hoffman, Forerunner Ventures (Kirsten Green), Canaan Partners (Laura Chau), Adverb Ventures (April Underwood), Factorial Funds (Sol Bier), Offline Ventures (Brit Morin), Sound Ventures (Ashton Kutcher), Inspired Capital (Alexa von Tobel), and Torch Capital (Jonathan Keidan). Our angel investors include Elad Gil, Ev Williams, Marissa Mayer, Sara Beykpour, Kayvon Beykpour, Anna Veronika Dorogush, Eugenia Kuyda, David Luan, Sharon Zhou, Kelly Wearstler, Karlie Kloss, Colin Kaepernick, Christy Turlington Burns, and Jeff Wilke.
 
 
 Arcade is headquartered in San Francisco&rsquo;s Presidio and led by serial entrepreneur Mariam Naficy (Minted, Eve), and a founding team with deep experience in generative AI, design systems, and supply chain. We&rsquo;re pioneering a new category at the intersection of AI, personal expression, and on-demand manufacturing, and we&rsquo;re building fast.
 
 
 
 Overview Of Role
 
 
 
 We are seeking an Applied AI Engineer to join our growing team and help advance our generative AI capabilities. This role blends hands-on model development with integration of cutting-edge AI techniques into production systems. You&rsquo;ll contribute to research, model experimentation, and implementation working closely with cross-functional teams to bring AI-driven products to life.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Collaborate with engineering and product teams to train and fine-tune machine learning models, including diffusion models, LLMs, and other emerging generative architectures
 </li>
 <li>
 Develop tools and pipelines that support scalable, efficient, and production-ready AI systems
 </li>
 <li>
 Collect, clean, and analyze large-scale datasets to improve model performance and reliability
 </li>
 <li>
 Deploy and maintain AI models in production environments, ensuring scalability, reliability, and efficiency
 </li>
 <li>
 Design and deploy text-to-image models and LLM-based applications, including advanced prompt engineering, fine-tuning, and multi-component workflows
 </li>
 <li>
 Maintain and monitor deployed models in cloud-based production environments
 </li>
 <li>
 Stay current with developments in generative AI, contribute to the research environment, and apply new developments to enhance pipeline performance
 </li>
 <li>
 Communicate technical concepts clearly across technical and non-technical audiences
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Mathematics, AI/ML, or a related field
 </li>
 <li>
 Strong proficiency in Python and familiarity with Linux environments; hands-on experience with machine learning libraries like PyTorch, TensorFlow,, etc.
 </li>
 <li>
 Strong fundamentals in machine learning concepts, with a deep understanding of algorithms and their underlying mechanics ("under the hood")
 </li>
 <li>
 Familiarity with training, fine-tuning, and evaluating models, especially with large-scale datasets
 </li>
 <li>
 Familiarity with data preprocessing, cleaning, and feature engineering
 </li>
 <li>
 Awareness of recent developments in generative AI, diffusion models, and LLMs
 </li>
 <li>
 Familiarity with cloud platforms and deploying AI models in cloud-based environments
 </li>
 <li>
 Excellent problem-solving and analytical thinking skills with close attention to detail
 </li>
 <li>
 Excellent communication and collaboration skills in a fast-paced and collaborative environment.
 
 
 </li>
 </ul>
 
 Additional
 
 
 
 Competitive compensation
 
 
 Lunch provided daily
 
 
 Company events
 
 
 Arcade is an equal opportunity employer. We&rsquo;re committed to building a diverse, inclusive, and supportive team, and to creating a platform where anyone, anywhere, can make something meaningful.
 
 
</div>

Applied AI Engineer

Liftoff

<div><div>Liftoff is a leading AI-powered performance marketing platform for the mobile app economy. Our end-to-end technology stack helps app marketers acquire and retain high-value users, while enabling publishers to maximize revenue across programmatic and direct demand.

Liftoff's solutions, including Accelerate, Direct, Monetize, Intelligence, and Vungle Exchange, support over 6,600 mobile businesses across 74 countries in sectors such as gaming, social, finance, ecommerce, and entertainment. Founded in 2012 and headquartered in Redwood City, CA, Liftoff has a diverse, global presence.</div>
About the Revenue Engine team

The Revenue Engine team works to understand the fundamental economics of the mobile ad tech marketplace, including the elasticity of demand and the effects of competition. The team of machine learning engineers, software engineers, and data analysts develops theories, validates those theories with experiments and analyses, and uses the learnings to build production systems that improve outcomes for Liftoff and its advertisers.

As a Machine Learning Engineer on the Revenue Engine team, you will:
<ul>
<li>Build statistical models and production systems to balance advertiser performance with business goals.</li>
<li>Tune optimization parameters, measure internal competition, and model dynamic environments.</li>
<li>Design and run experiments to validate theories underpinning the mobile ad tech economy.</li>
<li>Develop applications in the areas of advertiser budget retention and growth, optimal margin allocation, and bidding innovations.</li>
<li>Collaborate with a team of world-class engineers with diverse backgrounds as well as peers across the broader company (e.g. Operations, GTM).</li>
<li>Use strong communication skills (verbal and written) to explain statistical and machine learning concepts to both technical and non-technical audiences.</li>
<li>Be part of an &quot;engineering excellence&quot; culture through state-of-the-art tools, risk-driven testing, explainable systems, and design/code review.</li>
</ul>
Requirements:
<ul>
<li>PhD in Computer Science, Machine Learning, Economics, or a related field.</li>
<li>Industry experience applying economics or machine learning to large scale problems.</li>
<li>Solid engineering and coding skills.</li>
<li>Excellent team communication and collaboration skills.</li>
<li>Experience with ad tech is a solid plus.</li>
</ul>
Location: 
This role is eligible for full-time remote work in one of our entities: CA, CO, ID, IL, FL, GA, MA, MI, MN, MO, NJ, NV, NY, OR, TX, UT, and WA.

We are a remote-first company with US hubs in Redwood City, Los Angeles, and New York City.

Travel Expectations: 
We offer several opportunities for in-person team gatherings, including but not limited to project meetings, regional meetups, and company-wide events. We expect our employees to attend these gatherings at least once per quarter. These gatherings provide essential opportunities for collaboration, communication, and team building.

#LI-EL1

#LI-REMOTE

We use Covey as part of our hiring and/or promotional process for jobs in NYC and certain features may qualify it as an AEDT. As part of the evaluation process, we provide Covey with job requirements and candidate-submitted applications. We began using Covey Scout for Inbound on January 22, 2024.

Please see the independent bias audit report covering our use of Covey here.<div>
Liftoff offers a fast-paced, collaborative, and innovative work environment where employees are empowered to grow and make an impact. We're shaping the future of the mobile app ecosystem&mdash;join us and help accelerate what's next. 


Liftoff's compensation strategy includes competitive salaries, equity, and benefits designed to support employee well-being and performance. We benchmark compensation based on role, level, and location to ensure fairness and market alignment. Benefits may include medical coverage, wellness stipends, and additional perks based on your country of residence. 


Liftoff is an equal opportunity employer. We are committed to creating an inclusive environment for all employees and applicants regardless of race, ethnicity, national origin, age, marital status, disability, sexual orientation, gender identity, religion, veteran status, or any other characteristic protected by applicable law.

Agency and Third Party Recruiter Notice:

Liftoff does not accept unsolicited resumes from individual recruiters or third-party recruiting agencies in response to job postings. No fee will be paid to third parties who submit unsolicited candidates directly to our hiring managers or Recruiting Team. All candidates must be submitted via our Applicant Tracking System by approved Liftoff vendors who have been expressly requested to make a submission by our Recruiting Team for a specific job opening. No placement fees will be paid to any firm unless such a request has been made by the Liftoff Recruiting Team and such a candidate was submitted to the Liftoff Recruiting Team via our Applicant Tracking System.</div></div>

Machine Learning Engineer

Explore 66+ Automation engineer in San Francisco this March. Find roles across top companies and apply now to boost your career.