Senior Machine Learning Engineer Job at Jobleads-US, San Francisco, CA

azJ2RS8vRkZ2T1JoQXNTWjVCVktNWFg4
  • Jobleads-US
  • San Francisco, CA

Job Description

About Invisible Invisible Technologies is the AI training and scaling partner for the leading foundation model providers, enterprises, and governments, bridging the gap between AI potential and production. Invisible’s unique AI Process Platform combines elite global human expertise, cutting edge technology, and deep institutional knowledge gained by training 80% of the world’s leading AI models. Trusted by AWS, Microsoft, and Cohere, we have an unparalleled ability to operationalize AI for real-world applications. Our explosive growth landed us the #2 spot on the Inc. 5000 in 2024, closing the year on $134m revenue. About The Role We’re looking for a Senior Software Engineer with deep expertise in full-stack development with a strong emphasis on backend systems, model evaluations, and finetuning to join our team. In this role, you’ll support our AI-driven tool development and R&D efforts, playing a key part in building scalable systems and driving operational excellence. What You’ll Do You’ll join our Platform Engineering team, reporting to the Senior Engineering Manager of Evaluations & Finetuning, at a pivotal time of rapid growth. In this role, you'll focus on building and designing robust data sets for industry specific model testing and comparative analysis of foundational models. Your work will play a critical role in improving the scalability, reliability, and performance of our models and overall platform. Create Complex Datasets: Generate datasets using Prompt Engineering and other ML skills with statistical significance. Develop and Maintain AI/ML Systems: Build robust, scalable backend systems that support machine learning operations and data processing pipelines Innovation and R&D: Actively participate in research and development of new tools that can enhance our AI capabilities and workflows Problem Solving: Independently explore and address complex problem spaces to improve system capabilities and performance without extensive guidance Cross-Functional Collaboration: Work closely with ML engineers and data scientists to integrate advanced ML technologies, ensuring seamless operations across various platforms What We Need Professional Experience: 5+ years of software engineering experience, with a strong focus on ML engineering and deploying machine learning models in production. Extensive experience in full-stack development, particularly in backend environments that support AI/ML workloads. MSc in Math, Statistics, Data Science or similar preferred. Technical Expertise: Strong proficiency in Python, with deep expertise in LLMs, AI Agents, and ML model development. Experience designing and deploying scalable ML systems, such as retrieval-augmented generation (RAG) pipelines and production-grade AI applications. Extensive experience with cloud platforms (AWS, GCP, Azure) and operational best practices for ML workloads. Familiarity with Kubernetes and other container management tools. Ability to write well-structured, organized code and automated unit/E2E tests. Comfortable with polyglot persistence models (SQL vs. NoSQL). Problem Solving: Ability to operate independently in unstructured environments, demonstrating a proactive and investigative approach to tackling challenges Communication: Excellent communication skills, with the ability to collaborate effectively in dynamic, cross-functional teams, including data scientists, researchers, and software engineers. What’s In It For You Invisible is committed to fair and competitive pay, ensuring that compensation reflects both market conditions and the value each team member brings. Our salary structure accounts for regional differences in cost of living while maintaining internal equity. For this position, the annual salary ranges by location are:

$161,000 - $189,000 USD

An Invisible Talent Acquisition Partner can provide more information on which locations are included in each of our geographic pay tiers during the interview process. For candidates outside the U.S., compensation will be adjusted to reflect local market conditions and cost-of-living differentials. Bonuses and equity are included in offers above entry level. Final compensation is determined by a combination of factors, including location, job-related experience, skills, knowledge, internal pay equity, and overall market conditions. Because of this, every offer is unique. Additional details on total compensation and benefits will be discussed during the hiring process. What It’s Like to Work at Invisible: At Invisible, we’re not just redefining work—we’re reinventing it. We operate at the intersection of advanced AI and human ingenuity, pushing the boundaries of what’s possible to unlock productivity and scale. Ownership is at the core of everything we do. Here, you won’t just execute tasks—you’ll build, innovate, and shape the future alongside world-class clients pushing the boundaries of AI. We expect bold ideas, relentless drive, and the ability to turn ambiguity into opportunity. The pace is fast, the challenges are big, and the growth is unmatched. We’re not for everyone, and we’re okay with that. If you’re looking for predictable routines, this isn’t the place for you. But if you’re driven to create, thrive in dynamic environments, and want a front-row seat to the AI revolution, you’ll fit right in. Country Hiring Guidelines: Invisible is a remote-first organization and hires new team members in countries around the world. Although many of our roles are fully remote, some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. AI Interviewing Guidelines: Our hiring team thoughtfully uses AI to support an efficient, engaging, and inclusive interview process. Since AI can also be a helpful tool for candidates, we've outlined expectations for using it ethically throughout your interview journey. Click here to learn more about how we use AI and our guidelines for candidates. Accessibility Statement: We’re committed to providing reasonable accommodations for individuals with disabilities. If you need assistance or accommodation due to a disability, please contact our Talent Acquisition team during the recruitment process at accommodation@invisible.email . Equal Opportunity Statement: We’re an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, or veteran status, or any other basis protected by law. Due to a high volume of candidates, Invisible may use automated decision-maker technologies to filter candidates based on response to our application questions and other provided information. Our use of automated decision-making enables us to be efficient by providing a manageable list of possible candidates that meet our mandatory hiring criteria. If you object to our use of automated decision-making please contact us. Apply for this job * indicates a required field First Name * Last Name * Email * Phone * Resume/CV * Enter manually Accepted file types: pdf, doc, docx, txt, rtf Enter manually Accepted file types: pdf, doc, docx, txt, rtf LinkedIn Profile * This role is only eligible to be based in the United States, please confirm which State you currently reside in. (Select N/A if you are based outside the USA) * Select... Will you now or in the future require Invisible to commence (“sponsor”) an immigration case in order to employ you (for example, H-1B or other employment-based immigration case)? This is sometimes called “sponsorship” for an employment-based visa status. * Select... How did you learn about this opportunity? * #J-18808-Ljbffr Jobleads-US

Job Tags

Local area, Remote job, Work visa, H1b,

Similar Jobs

DoorDash

Delivery Driver Job at DoorDash

 ...Delivery Driver at DoorDash summary: As a Delivery Driver with DoorDash, you will have the flexibility to earn extra cash on your terms by delivering meals, groceries, and retail orders. With a clear pay model and instant cash flow, you can work when it suits you, whether... 

CSKT DEPT. OF ECONOMIC DEVELOPMENT

LEAD BUTCHER Job at CSKT DEPT. OF ECONOMIC DEVELOPMENT

 ...LEAD BUTCHER TEMPORARY EMPLOYMENT AGREEMENT (TEA) POSITION (Opportunity to transfer to Full-Time when Corporation is fully operational) RONAN, MONTANA The successful applicant must possess a High school diploma or GED; technical or trade training in meat cutting... 

18 Wheels USA

New Class A Truck Drivers Regional Job at 18 Wheels USA

18 Wheels USA is hiring Class A CDL truck drivers nationwide. This position is ideal for recent CDL school graduates looking to start their trucking career with a stable carrier that offers paid training, consistent freight, and reliable home time. Drivers will operate... 

Johns Hopkins Medicine

CLINICAL CUSTOMER SERVICE REP- Meyer 5 (Day 20) Job at Johns Hopkins Medicine

Apply Refer a Friend Back Share This Page Share on Facebook Share on Twitter Share on LinkedIn Share via Email Job Details Requisition #: 661132 Location: Johns Hopkins Hospital, Baltimore, MD 21287 ...

Pursuit Collection

Line Cook Job at Pursuit Collection

 ...offer thoughtfully crafted restaurants, retail, and transportation services that help our guests immerse themselves fully in the experience....  ...in other departments. Engaged in preparing and cooking food to ensure an efficient and profitable food service. The Fox...