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Adversarial Machine Learning Jobs in California (NOW HIRING)

Bobyard, Inc

Head of Machine Learning

San Francisco, CA · On-site

$230K - $300K/yr

Real-world data is ugly - scanned, incomplete, adversarial. Make it work anyway. * Ship with ... Learning machine : New architecture drops, you're fine-tuning it same day. You make unknown spaces ...

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Adversarial Machine Learning information

What are some common challenges faced by professionals working in Adversarial Machine Learning roles?

Adversarial Machine Learning professionals often face the challenge of staying ahead of rapidly evolving attack techniques that can compromise model integrity and security. Managing the balance between model performance and robustness is another key difficulty, as defenses against adversarial attacks can sometimes reduce accuracy or increase computational costs. Collaboration with data scientists, security teams, and software engineers is vital for developing resilient models and implementing effective defenses. Staying current with the latest research and tools is essential for success in this dynamic field.

What are the key skills and qualifications needed to thrive as an Adversarial Machine Learning specialist, and why are they important?

To excel in Adversarial Machine Learning, you need a strong background in machine learning, deep learning, statistics, and computer science, typically supported by an advanced degree in a related field. Familiarity with frameworks like TensorFlow or PyTorch, experience with adversarial attack and defense libraries, and knowledge of security protocols are crucial. Creative problem-solving, critical thinking, and strong communication skills help in designing robust models and explaining complex threats to stakeholders. These competencies are vital to anticipate vulnerabilities, safeguard AI systems, and ensure the reliability of machine learning models in real-world applications.

What is the difference between Adversarial Machine Learning vs Data Scientist?

AspectAdversarial Machine LearningData Scientist
CredentialsKnowledge of machine learning, cybersecurity, and threat detectionDegree in data science, statistics, or related fields
Work EnvironmentResearch labs, cybersecurity teams, AI developmentBusiness analytics, data analysis, model development
Industry UsageAI security, cybersecurity, machine learning researchBusiness, finance, healthcare, tech companies

Adversarial Machine Learning focuses on understanding and defending AI models against malicious inputs, often within cybersecurity contexts. Data Scientists analyze data to extract insights, build models, and support decision-making across various industries. While both roles require machine learning knowledge, Adversarial Machine Learning emphasizes security and robustness, whereas Data Scientists focus on data analysis and predictive modeling.

What is adversarial machine learning?

Adversarial machine learning is a field of study focused on understanding and defending against attacks that manipulate machine learning models by feeding them deceptive input, known as adversarial examples. These attacks can cause models to make incorrect predictions, raising concerns about the security and reliability of AI systems, especially in critical applications like image recognition and autonomous vehicles. Researchers in this area develop techniques to detect, prevent, and mitigate these vulnerabilities to make machine learning systems more robust.
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What job categories do people searching Adversarial Machine Learning jobs in California look for? The top searched job categories for Adversarial Machine Learning jobs in California are:
What cities in California are hiring for Adversarial Machine Learning jobs? Cities in California with the most Adversarial Machine Learning job openings:
Adversarial Machine Learning jobs near you
Staff Software Engineer, Machine Learning

Staff Software Engineer, Machine Learning

ZipRecruiter

Santa Monica, CA • Remote

$180K - $225K/yr

Full-time

Posted 28 days ago

Job description

We offer a hybrid work environment. Most US-based positions can also be performed remotely (any exceptions will be noted in the Minimum Qualifications below.)

Our Mission:

To actively connect people to their next great opportunity.

Who We Are:

ZipRecruiter is a leading online employment marketplace. Powered by AI-driven smart matching technology, the company actively connects millions of all-sized businesses and job seekers through innovative mobile, web, and email services, as well as through partnerships with the best job boards on the web. ZipRecruiter has the #1 rated job search app on iOS & Android.

Summary:

With data such as a billion+ historical job postings, tens of millions of active job seekers interacting with our system, and hundreds of billions of impression and click events, there are incredible opportunities to use your skills to build new data-driven features. Working at ZipRecruiter, you will be helping literally millions of people find their dream job. We're working on problems like: given a training set of job postings, and known salaries, build a system that predicts salary for novel jobs.Of course, you know that while building models is fun, it's also just one step in the process; gathering training data, cleansing it, digging into it, extracting features from it, etc, is a huge part of the job

Key Focuses:

  • Design, develop, and maintain advanced machine learning models and algorithms to solve complex business problems
  • Lead complex machine learning projects that solve business challenges and add value to the broader ZipRecruiter Business
  • Design the overall architecture and infrastructure for machine learning systems, ensuring scalability, efficiency, and robustness
  • Push the boundaries of what's possible in machine learning in your organization, finding new and innovative ways to use AI to drive business value
  • Provide leadership and set tone for Machine Learning Engineers at ZipRecruiter leveraging industry best practices and innovation
  • Stay up-to-date with the latest developments in machine learning and AI, and drive adoption of new techniques and technologies as appropriate
Minimum Qualifications:
  • 7+ year of professional software development experience with a deep focus in machine learning
  • Comprehensive knowledge and experience of machine learning algorithms, techniques, and best practices
  • Extensive experience in machine learning model design, data pipeline design, experimentation and validation design, system design, and/or architecture design.

Preferred Qualifications:

  • 10+ year of professional software development experience with an expertise in machine learning
  • BS/MS/PhD in Mathematics, Computer Science, Physics, related technical field or equivalent practical experience
  • Expert knowledge of machine learning algorithms (e.g., linear regression, SVM, decision trees, neural networks, clustering, etc.) and best practices
  • Profound knowledge of machine learning algorithms and frameworks, such as TensorFlow, PyTorch, or scikit-learn
  • Extensive background of deep learning architectures and techniques, such as Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), Long Short-Term Memory (LSTM), and Generative Adversarial Networks (GANs)
  • Deeply versed in NLP techniques and tools, such as tokenization, stemming, lemmatization, sentiment analysis, and named entity recognition, and libraries like NLTK, SpaCy, or BERT

As part of our team you'll enjoy:

  • Competitive compensation
  • Exceptional benefits package
  • Flexible Vacation & Paid Time Off
  • Employer-matched 401(k) plan

#LI-Remote

The US base salary range for this full-time position is $180,000-$225,000. Our salary ranges are determined by role, level, and location, and the range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location, role-related knowledge and skills, depth of experience, relevant education or training, and additional role-related considerations.

Depending on the position offered, equity, bonuses, commission, or other forms of compensation may also be provided as part of a total compensation package, in addition to a full range of medical, financial, and other benefits.

ZipRecruiter is proud to be an equal opportunity employer and provides equal employment opportunities (EEO) to all employees and applicants without regard to race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity or genetics.

Privacy Notice: For information about ZipRecruiter's collection and processing of job applicant personal data for this job, please see our Privacy Notice at: https://www.ziprecruiter.com/careers/job-applicant-privacy-notice

Working at ZipRecruiter

Perks for frontline workers

From ZipRecruiter, via Breakroom

  • Wellness stipend

  • Remote wellness activities (like virtual yoga)

  • Company-paid access to wellness apps

  • Fertility and family-forming benefits

  • Pet insurance

  • Competitive compensation

  • Annual bonus

  • RSUs for certain roles

  • We match a percentage of your 401(k) contributions

  • Company-paid access to financial planning resources

  • Flexible time off

  • Generous parental leave

  • Internet stipend & home office program

  • Snacks and occasional meals in some offices

  • Employee Resource Groups

  • Opportunities to give back through ZipRecruiter.org

  • Time off to volunteer

  • Employee-driven recognition and rewards program

  • Discounts in your community

  • Mix of team meetings, 1:1s, and cross-functional collaboration

  • Live town halls

  • Hosted team building activities

  • Catered meals, dining out

  • Paid travel and accommodations

About ZipRecruiter, in their own words

From ZipRecruiter

We’re one team with a shared mission—to connect people to their next opportunity. No matter who you are or where you work from, we create an inclusive, respectful environment where everyone can do their best work.

Company values

From ZipRecruiter

Do meaningful work - We help millions of job seekers find roles that match their skills—it's in our DNA.

Embrace teamwork - We’re passionate problem-solvers who know diverse perspectives lead to better outcomes.

Enjoy the journey - We celebrate wins, learn together, and value the process of working as one team.

Diversity and inclusion statement

From ZipRecruiter

We’re a diverse team of collaborators who never settle, leave egos at the door, and are passionate about the work we do.

We champion diversity and inclusion in all aspects of our work.

ZipRecruiter logo

About ZipRecruiter

Sourced by ZipRecruiter

What started as a way to help small businesses find great candidates has grown into a leading online employment marketplace that connects millions of job seekers with companies of all sizes. Our sophisticated Al-matching technology is at the core of everything we do-and by analyzing billions of user interactions, it's always getting smarter. It improves the job search experience for millions of people every month and helps businesses of all sizes find and hire the right candidates quickly. We empower job seekers with the tools they need to stand out and get hired. Like a personal recruiter, we track down relevant opportunities in our marketplace, proactively pitch them to hiring managers at top companies, and deliver status updates along the way. We make it easier for people to find work We match businesses of all sizes with the best people for their open roles. Reaching millions of job seekers through our site, * email, and #1 rated job seeker app, we target the most qualified candidates to apply when a job goes live in our marketplace. The result? More quality candidates and reduced hiring times.

Industry

Software development

Company size

1,001 - 5,000 Employees

Headquarters location

Santa Monica, CA, US

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