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Privacy Preserving Machine Learning Jobs in Indianapolis, IN

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Privacy Preserving Machine Learning information

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$95.1K

$110.4K

$123.8K

How much do privacy preserving machine learning jobs pay per year?

As of Sep 3, 2026, the average yearly pay for privacy preserving machine learning in Indianapolis, IN is $110,407.00, according to ZipRecruiter salary data. Most workers in this role earn between $96,500.00 and $123,300.00 per year, depending on experience, location, and employer.

What is privacy preserving machine learning?

Privacy preserving machine learning refers to techniques and methods that allow data analysis and model training while protecting sensitive information. This field focuses on ensuring that personal or confidential data is not exposed or compromised during the development and deployment of machine learning models. Approaches such as federated learning, differential privacy, and homomorphic encryption are commonly used. These methods enable organizations to leverage data for insights and predictions without violating privacy regulations or risking data breaches. Privacy preserving machine learning is especially important in industries like healthcare, finance, and any sector handling personal data.

What are the key skills and qualifications needed to thrive as a privacy preserving machine learning engineer?

To thrive as a Privacy Preserving Machine Learning Engineer, you need a strong background in machine learning, data privacy techniques (such as differential privacy or federated learning), and a relevant degree in computer science or a related field. Familiarity with frameworks like TensorFlow Privacy, PySyft, and privacy-enhancing technologies, along with certifications in data security or privacy, are often required. Strong problem-solving abilities, meticulous attention to detail, and the ability to communicate complex technical concepts clearly set top professionals apart. These skills ensure the development of robust machine learning models that protect sensitive data while delivering valuable insights, maintaining compliance and trust.

What are some common challenges faced by professionals working in privacy preserving machine learning roles?

Professionals in Privacy Preserving Machine Learning often encounter challenges such as balancing model accuracy with strict privacy requirements, selecting appropriate privacy-preserving techniques (like differential privacy or federated learning), and ensuring compliance with evolving data protection regulations. Collaborative projects may also involve coordinating with legal, data security, and software engineering teams to implement robust solutions. Additionally, staying updated with the latest research and adapting to new threats or vulnerabilities is a continuous part of the role.

What is the difference between Privacy Preserving Machine Learning vs Data Scientist?

AspectPrivacy Preserving Machine LearningData Scientist
Required CredentialsTypically requires knowledge of machine learning, data privacy, and security certificationsRequires degrees in data science, statistics, or related fields; certifications like Certified Data Scientist are common
Work EnvironmentWorks in research, development, and implementation of privacy-focused ML models, often in tech or finance sectorsAnalyzes data, builds models, and provides insights across various industries including marketing, finance, and healthcare
Employer & Industry UsageUsed by organizations prioritizing data privacy, such as healthcare, finance, and tech companiesEmployed across diverse sectors for data analysis, predictive modeling, and decision support

Privacy Preserving Machine Learning focuses on developing models that protect data privacy during training and inference, while Data Scientists analyze and interpret data to generate insights. Both roles require strong analytical skills, but Privacy Preserving Machine Learning emphasizes security and privacy techniques, whereas Data Scientists focus on data analysis and modeling.

What are popular job titles related to Privacy Preserving Machine Learning jobs in Indianapolis, IN?

For Privacy Preserving Machine Learning jobs in Indianapolis, IN, the most frequently searched job titles are:

What job categories do people searching Privacy Preserving Machine Learning jobs in Indianapolis, IN look for?

The top searched job categories for Privacy Preserving Machine Learning jobs in Indianapolis, IN are:

What cities near Indianapolis, IN are hiring for Privacy Preserving Machine Learning jobs?

Cities near Indianapolis, IN with the most Privacy Preserving Machine Learning job openings:

Privacy Preserving Machine Learning jobs near you
Infographic showing various Privacy Preserving Machine Learning job openings in Indianapolis, IN as of August 2026, with employment types broken down into 100% Full Time. Highlights an 73% In-person, and 27% Remote job distribution, with an average salary of $110,407 per year, or $53.1 per hour.

Manager, Financial Planning & Analysis - Revenue

Salesforce

Indianapolis, IN • On-site

$140 - $210/hr

Other

Medical, Dental, Vision, Life, Retirement

Posted 29 days ago

Salesforce rating

8.1

Company rating: 8.1 out of 10

Based on 58 frontline employees who took The Breakroom Quiz

112th of 247 rated software companies

Job description

To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.Job CategoryFinanceJob DetailsAbout SalesforceSalesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn’t a buzzword — it’s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.Ready to level-up your career at the company leading workforce transformation in the agentic era? You’re in the right place! Agentforce is the future of AI, and you are the future of Salesforce.The ExperienceThe Finance & Strategy (F&S) team is a global organization responsible for delivering financial predictability and control, business accountability, insight to optimize decisions and resources, and shareholder success.We are seeking a Manager to join the Corporate F&S Revenue team focusing on revenue forecasting, metrics, and reporting. This role partners closely across the F&S organization: F&S Go To Market (GTM), F&S Product, F&S Corporate and the Controllership organization to deliver accurate financial forecasting and insights. The role requires strong top-line forecasting skills coupled with a high degree of internal customer interaction across the broader finance organization.What You'll Actually Be DoingOwn revenue forecast for a cloud and deliver high degree of forecast accuracyDeliver revenue insights, explain revenue trends and forecast variancesPrepare impactful presentations that deliver messages clearly and engages audience.Work closely with broader F&S Corporate team, F&S GTM, F&S Product and Controllership to understand impact of related processes on revenue results and forecast.Partner closely with Corporate F&S counterparts on delivering short-term revenue forecast, highlighting risks & opportunities, and aligning on current remaining performance obligations (cRPO) and long-range revenuePartner with Investor Relations providing insights related to external narrative.Continuously improve the quality and accessibility of our data. Utilize data and data visualization skills to make processes and reporting more efficient.Develop models and data solutions to contribute to achieving company’s strategy and goals.Identify opportunities and implement automated solutions including use of artificial intelligence and machine learning.You're Our Person If...Extensive experience in Financial Planning & Analysis or a combination of Financial Planning & Analysis, Revenue Accounting or Financial Audit.Substantial experience building and maintaining complex financial modelsStrong communication, reporting, storytelling and presentation skills. Ability to building and maintaining relationships.Ability to multi-task effectively in a fast-paced, quickly changing environment.Self-starter who can navigate through ambiguity while aligning with business partners.Use of Artificial Intelligence in daily workGrowth mindset & adaptableEven Better If...Knowledge of software revenue recognition under ASC 606Data & Analytics: advanced Snowflake/SQL, Tableau, Hyperion skillsThis role is hybrid and goes into the office 3 days per week.Unleash Your PotentialWhen you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best , and our AI agents accelerate your impact so you can do your best . Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world.AccommodationsIf you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form .Please note that Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidates’ resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions. Please see our Candidate Privacy Statement for more information about how we use your personal data and your rights, including with regard to use of AI tools and opt out options.Posting StatementSalesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. Salesforce offers a variety of benefits to help you live well including: time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program. More details about company benefits can be found at the following link: https://www.salesforcebenefits.com. #J-18808-Ljbffr

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