Machine Learning Engineer II

Indeed; New York (NY); On-site; USD 180,000 - 235,000; Full time

Benefits offered by this job

Health insurance

Equity-based incentives

Open paid time off

11 paid holidays a year

Paid parental leave (up to 26 weeks)

Job summary

Indeed is seeking a Senior Machine Learning Engineer to develop and deploy predictive models and genAI capabilities across business functions. You will explore data, define problem statements, and optimize models for production performance, collaborating with cross-functional teams to embed ML in products.

You will lead the design and deployment of scalable recommendation systems, mentor peers, and present at top ML conferences, shaping the future of matching in a global job market.

Qualifications

• Bachelor’s degree in CS, math, stats, or related field with 3+ years of experience; or Master’s with 3+ years; or PhD without experience.
• Proven success deploying ML solutions to large-scale production systems.
• Solid knowledge of data structures and algorithms.
• Excellent ownership and accountability in delivery.
• Strong written and verbal English communication for technical audiences.
• Experience with deep learning libraries (Torch, TensorFlow, etc.).

Responsibilities

• Build scalable recommendation systems that match millions of jobs to seekers in real time.
• Experiment with POC ML models; scale to production and run A/B tests.
• Mentor software engineers, data scientists, and ML engineers.
• Break down large ML initiatives into deliverable parts delivering business value.
• Represent Indeed at major ML conferences (NeurIPS, ICML, ICLR).

Skills

Bachelor’s degree in CS/Math/Stats

Master’s degree with 3+ years

PhD without experience

Deploy ML solutions to production

Data structures & algorithms

Ownership & accountability

English communication

Deep learning libraries (Torch, TF)

Education

Bachelor’s degree in Computer Science, Mathematics, Statistics, or related field

Master’s degree with minimum 3 years of experience

PhD without experience

Tools

Torch

TensorFlow

Job description

Our Mission

As the world’s number 1 job site*, our mission is to help people get jobs. We strive to cultivate an inclusive and accessible workplace where all people feel comfortable being themselves. We're looking to grow our teams with more people who share our enthusiasm for innovation and creating the best experience for job seekers.

Day to Day

As a Senior Machine Learning Engineer, you will work on developing, deploying predictive models and genAI capabilities that support various business functions. Your daily activities include exploring data to define problem statements, building and optimizing machine learning models, and monitoring their performance in production environments. You will collaborate with cross-functional teams to integrate machine learning solutions into products and stay informed about the latest advancements in the field to continuously improve model effectiveness and innovation.

Responsibilities

• Build highly scalable and performant recommendation systems and technologies that can identify optimum matches between millions of jobs and millions of job seekers in real-time.


• Experiment with Proof-Of-Concept Machine Learning (POC ML) model improvements, scale them to production, and run iterative A/B experiments to improve our matching technology.


• Mentor other software engineers, data scientists, and Machine Learning Engineers in the team.


• Break down larger Machine Learning initiatives into pieces that deliver incremental business value and implement them.


• Represent Indeed at major Machine Learning conferences like Neural Information Processing Systems (NeurIPS), International Conference on Machine Learning (ICML), and International Conference on Learning Representations (ICLR).

Skills/Competencies

• Requires a Bachelor’s degree in Computer Science, Mathematics, Statistics, or related field and a minimum of 5 years of related experience; or a Master’s degree with a minimum of 3 years of experience; or a PhD without experience


• Prior success in deploying impactful Machine Learning solutions to large-scale production systems


• Solid knowledge of data structures and algorithms


• Exceptional sense of ownership


• Excellent written and verbal communication in English, effective with technical audiences


• Knowledge and practical experience working on Deep Learning Libraries (like Torch, Tensorflow, etc.)

Salary Range Transparency

Tier 1 - United States of America $138,000 - $208,000 USD per year

Tier 2 - United States of America $154,000 - $230,000 USD per year

Tier 3 - United States of America $169,000 - $253,000 USD per year

Tier 4- United States of America N/A

Tier 5 - United States of America $193,000 - $289,000 USD per year

Salary Range Disclaimer

The salary range for this role reflects the minimum and maximum compensation for the role. Offers are typically made between the range minimum and the range midpoint. Actual compensation will be determined based on job-related skills, experience, and expertise, as evaluated during the interview process. The range(s) listed is just one component of Indeed's total compensation package for employees. Other rewards may include quarterly bonuses, Restricted Stock Units (RSUs), a Paid Time Off policy, and many region-specific benefits. Compensation may also vary based on where a role is performed, as work locations are grouped into geographic pay tiers to reflect cost of labor differences in different geographic markets. Candidates can view geographic pay tiers by location on our career site (https://www.indeed.com/careers/paytiers), and recruiters can confirm how location is considered for a specific role.

Benefits - Health, Work/Life Harmony, & Wellbeing

We care about what you care about. We have a multitude of benefits to support Indeedians, as well as their pets, kids, and partners including medical, dental, vision, disability and life insurance. Indeedians are able to enroll in our company’s 401k plan, as well as an equity-based incentive program. Indeedians will also receive open paid time off, 11 paid holidays a year and up to 26 weeks of paid parental leave. For more information, select your country and learn more about our employee benefits, program, & perks at https://www.indeed.com/careers/benefits !

Equal Opportunities and Accommodations Statement

Indeed is deeply committed to building a workplace and global community where inclusion is not only valued, but prioritized. We’re proud to be an equal opportunity employer, seeking to create a welcoming and diverse environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, family status, marital status, sexual orientation, national origin, genetics, neuro-diversity, disability, age, or veteran status, or any other non-merit based or legally protected grounds.

Indeed provides reasonable accommodations to qualified individuals with disabilities in the employment application process. To request an accommodation, please visit https://www.indeed.com/careers/accommodations. If you are requesting accommodation for an interview, please reach out at least one week in advance of your interview.

For more information about our commitment to equal opportunity/affirmative action, please visit our Careers page (https://www.indeed.com/careers).

Inclusion & Belonging

Inclusion and belonging are fundamental to our hiring practices and company culture, forming an integral part of our vision for a better world of work. At Indeed, we’re committed to the wellbeing of our employees and on a mission to make this the best place to work and thrive. We believe that fostering an inclusive environment where every employee feels respected and accepted benefits everyone, fueling innovation and creativity.

We value diverse experiences, including those who have had prior contact with the criminal legal system. We are committed to providing individuals with criminal records, including formerly incarcerated individuals, a fair chance at employment.

Those with military experience are encouraged to apply. Equivalent expertise demonstrated through a combination of work experience, training, military experience, or education is welcome.

The deadline to apply to this position is 7/27/2026. Job postings may be extended at the hiring team’s discretion based on applicant volume.

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.