Senior ML Engineer

Description

Job Overview

• Role: Senior ML Engineer
• Company: Chess.com
• Location: Remote
• Employment Type: Full-Time
• Category / Department: Back-End Programming
• Salary: Competitive / Not Disclosed — confirm during interview
• Listing Source: WeWorkRemotely

Job Description

Headquarters: California, US
URL: https://www.chess.com/about

About You

You believe in the power of ML and AI to build amazing, interesting, and insightful products and services for humanity… and you’d love to do that in chess!

What you'll do

• Own ML-driven product features, identifying opportunities through to modeling, deployment, experimentation, and impact.
• Partner with Product, Leadership, Growth, and Data Science to determine which problems should (and shouldn’t) be solved with ML, define success metrics, and iterate based on real-world performance.
• Design, build, and ship scalable ML systems, including data pipelines, training workflows, and production model serving infrastructure.
• Prototype rapidly and iterate regularly, developing repeatable evaluation frameworks, running experiments, and improving models based on results
• Shape our ML architecture and MLOps practices, establishing standards for experimentation, deployment, monitoring, and retraining as we scale.
• Drive innovation in Generative AI, exploring how we can best use LLMs and agents to power new user experiences and internal productivity tools.
• Provide technical leadership and mentorship, mentoring more junior team members, influencing our roadmap, and raising AI/ML literacy across the company.

Preferred Skills

• 5+ years of demonstrated, hands-on experience building scaled ML systems, training large ML models, or equivalent experience.
• 1+ year of AI engineering experience.
• Strong technical skills and judgment around coding, testing, and building for scale.
• Strong practical ML knowledge, solid knowledge of ML theory, and a working understanding of the AI application stack and lifecycle in the context of foundation models, from evaluation to deployment.
• High sense of ownership and a drive to deliver impact in a fast-paced, evolving, ambiguous environment.

About the Opportunity

• This is a full-time opportunity
• We are 100% remote (work from anywhere!)

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You can learn more about us here:

• https://www.chess.com/article/view/how-chess-com-virtual-team-works-together
• https://www.chess.com/about

To apply: https://weworkremotely.com/remote-jobs/chess-com-senior-ml-engineer

Salary & Compensation

The salary for this role is not publicly disclosed. Based on industry benchmarks, roles of this type in India or remote-first companies typically offer compensation in line with market rates for the experience level required. We recommend researching platforms like Glassdoor, Levels.fyi, or AmbitionBox to gauge expected ranges before your offer discussion.

In addition to base salary, many employers in this sector offer a comprehensive benefits package that may include:

• Annual or performance-based bonuses
• Health, dental, and vision insurance
• Provident Fund (PF) and Gratuity contributions (India)
• Paid Time Off (PTO), sick leave, and public holidays
• Professional development budget and learning allowances
• Stock options or Employee Stock Ownership Plans (ESOPs) at select companies
• Flexible or remote working allowances
• Parental leave and family health coverage

Note: The specific benefits offered by this employer should be confirmed during the offer stage. Not all benefits listed above may apply to every organisation or role type.

Work Arrangement

Type: Fully Remote

This role is designed for a fully remote work arrangement. You will have the flexibility to work from any location, provided you have a stable internet connection and can align with the team's core collaboration hours. The company supports remote employees with the necessary tools, virtual team-building activities, and regular check-ins to ensure productivity and a strong sense of belonging. Equipment and home-office stipends may be provided — check the job listing or confirm during the offer stage.

Typical Interview Process

While each organisation structures its hiring differently, candidates for this type of role typically go through the following stages:

1. Resume and application screening
2. Introductory phone or video call with HR
3. Role-specific skill or competency interview
4. Final interview with the hiring manager or panel
5. Reference checks and offer discussion

Tip: Research the company's products, culture, and recent news thoroughly before each interview round.

About the Employer

Chess.com is the organisation posting this opportunity. While full company details are available on the original job listing, here is what you should research before applying:

• Company size and culture: Review the company's LinkedIn profile, Glassdoor reviews, and their official website to understand team size, work culture, and employee satisfaction.
• Products and services: Familiarise yourself with what the company builds, sells, or delivers. Being knowledgeable about their offerings will set you apart during interviews.
• Recent news: Search for any recent fundraising, acquisitions, product launches, or leadership changes — these often come up in interviews and signal company health.
• Location and offices: The role is based in or around Remote. Confirm office address, remote policy details, and travel requirements during the process.
• Where this listing was found: This job was sourced from WeWorkRemotely.

How to Apply & Preparation Tips

To apply for the Senior ML Engineer position, follow these steps:

1. Tailor your resume: Customise your CV to match the specific requirements listed in the job description. Use keywords from the posting to pass Applicant Tracking System (ATS) filters.
2. Write a compelling cover letter: Even if not mandatory, a concise cover letter demonstrating your enthusiasm and fit for the role significantly improves your chances.
3. Apply via the original listing: Use the apply link on the original job post to submit your application. Avoid applying through third-party channels that may delay or lose your submission.
4. Prepare for phone screening: Be ready for an initial call within 3–7 business days of applying. Have your resume and a quiet space ready.
5. Follow up professionally: If you haven't heard back in 7–10 business days, a brief, polite follow-up email to the recruiter is acceptable and often appreciated.

Disclaimer: This listing is aggregated from a public job board for informational purposes. JobSetuu does not guarantee the accuracy or current availability of this position. Always verify the details on the employer's official careers page before applying.