Software Engineer, Machine Learning

LinkedIn•Sunnyvale, CA

12h•Hybrid

About The Position

LinkedIn is the world’s largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. We’re also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture that’s built on trust, care, inclusion, and fun – where everyone can succeed. Join us to transform the way the world works. Hiring Team Description The Auto Eval team is pioneering scalable, high-fidelity evaluation frameworks for AI systems at LinkedIn. By integrating human annotation with automated evaluation pipelines, the team enables rapid, reliable assessments of AI products across domains like hiring, feed relevance, and trust. Their platform, the Auto-Eval Playground, empowers product teams to orchestrate evaluations, fine-tune prompts, and benchmark model performance with minimal overhead. Job Description This role will be based in Sunnyvale, San Francisco, or New York City. At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team. LinkedIn's Machine Learning Engineers are both data/research scientists and software engineers, who develop and implement machine learning models and algorithms. Unlike other companies that separate these roles, our engineers work on projects from ideation to implementation.

Requirements

Bachelor's degree in Computer Science or related technical field or equivalent technical experience
1+ years experience with machine learning, data mining, and information retrieval or natural language processing
1+ year of industry experience in software design, development, and algorithm related solutions.
1+ years experience in programming languages such as Java, Python, etc.

Nice To Haves

1+ years of relevant work experience
MS or PhD in Computer Science or related technical discipline
Experience developing large scale systems
Knowledge of recommendation systems
Ability to diagnose technical problems, debug code, and automate routine tasks
Analytical approach coupled with solid communication skills and a sense of ownership

Responsibilities

Building and deploying relevance models that power our various recommender systems and personalized intent engines
Keeping scalability and performance in mind through your design and engineering choices.
You will explore novel approaches for machine learning ranking and modeling downstream impact, as well as new ways of creating new product features by leveraging the cutting edge machine learning techniques in Generative AI, NLP.
You will work with big data and analyze tracking data to understand member preferences and identify opportunities for taking the products you work on to the next level.
You will work directly with partner data science, product, and infrastructure teams to take your ideas from conception to production.

Benefits

We strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of all levels.
LinkedIn is committed to fair and equitable compensation practices.
The pay range for this role is $114,000 - $189,000.
Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location.
This may be different in other locations due to differences in the cost of labor.
The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans.
For more information, visit https://careers.linkedin.com/benefits.
LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities.
Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful.
LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant.
As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: https://lnkd.in/paytransparency.
Please follow this link to access the document that provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: https://legal.linkedin.com/candidate-portal.