Jobs at Linkedin

I am a non-native English speaker with 12 years of total experience in sales roles. I also have a solid background in corporate and accounting roles, but not in the tech/SaaS industry. I am fluent in English, Italian, and Spanish. I currently live in Latin America, but I can legally present myself as EU-based for remote roles. Goal: Make a successful career transition into SaaS / Tech Sales as Account Executive (AE) or Senior BDR/SDR. I want to target stable remote positions in Europe or the United States, leveraging my real sales experience without appearing overqualified. I need an expert who has REAL experience in SaaS/tech sales career transitions (not just a generic resume writer). Deliverables: - First: A clear strategy on how to best position my actual experience for AE or Senior BDR/SDR roles in SaaS - Advice on how to present myself for remote roles in the EU/US market - Once the strategy is clear, help me to rewrite my CV optimized for SaaS/tech sales roles - LinkedIn profile optimization advice (if needed) To be considered, please answer ALL these questions in your proposal (AI-generated or copy-paste answers will be ignored): 1. Can you share 2–3 SPECIFIC examples of clients you helped transition into SaaS/tech sales as BDR, SDR, or Account Executive — especially non-native English speakers? 2. Have you worked with clients targeting REMOTE roles in Europe or the United States? Please attach or link your portfolio of similar sales/tech career transitions. Only serious proposals with real examples will receive a reply. Write the word "UNDERSTAND" in your proposal. Looking forward to working with a true expert in this niche.

Looking for warmed up linkedin accounts Looking for linkedin alias accounts All verified all ready to send messages The projects will go on over 3 months

Company Description 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. Job Description This role will be based in Sunnyvale, Mountain View or San Francisco. 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. The Infrastructure Recruiting Senior Manager reports to the Director of Engineering TA and leads hiring across core infrastructure domains, including AI platform, cloud, data, security, and reliability engineering. This role works closely with Infrastructure Hiring Managers and leaders to translate technical roadmaps into clear, executable hiring plans. The Senior Manager owns delivery for senior and hard-to-fill roles, sets operating standards for recruiters and sourcers, and directly engages on complex searches requiring deep technical judgment. Success is measured by strong calibration, predictable delivery, and sustained hiring quality as technical bars evolve. Responsibilities: Talent Strategy and Stakeholder Management • Advises business leaders and cross-functional partners using data and insights to influence strategic decision making. • Leads development of talent strategies by leveraging market data, trends, and insights and oversees team members executing to meet business needs. • Monitors and tracks team’s progress against core delivery metrics to meet hiring demand goals and proactively identifies any gaps, with suggestions on how to mitigate. • Analyzes patterns in funnel metrics and calibrates with senior leadership to identify trends and insights. • Oversees and prioritizes suggested opportunities where processes could be improved and maintains ownership of change efforts across the business unit. • Evaluates and leads adoption of artificial intelligence (AI) solutions to optimize team workflows, improves data-driven decision-making, and shares best practices to build team fluency. • Drives adoption of Customer Zero practices across their function, reinforcing process expectations and ensuring timely feedback and engagement. • Manages projects or initiatives across the functional strategy. Leadership • Provides leadership, mentoring, and guidance to large or multiple teams. • Enables growth opportunities by providing consistent feedback in 1:1s, OKR reviews, and career development discussions. • Creates an inclusive team environment by recognizing and valuing diverse perspectives and addressing bias or barriers to collaboration. • Establishes formal channels for coaching and mentoring opportunities across teams. • Identifies new opportunities for shared learning across teams regarding the hiring process of the business unit and coaches and enables best practices. • Drives a culture of curiosity and agility across their org by guiding teams through change, embedding adaptability into processes, and encouraging innovative problem-solving. Qualifications Basic Qualifications • Minimum 10 years of experience in talent acquisition, recruiting, human resources, sourcing, or related field OR Bachelor's Degree in related field AND minimum 7 years of experience in talent acquisition, recruiting, human resources, sourcing, or related field. • Minimum 5 years of experience in a leadership role with direct reports. Preferred Qualifications  • 8+ years of experience using HR Systems. • 8+ years of experience in a client facing role. • 8+ years of experience in function-specific recruiting. Suggested Skills • AI Fluency • Change Management • Communication • Cross-Team Collaboration • Data Analysis • Stakeholder Management LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $144,000 to $234,000. 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. Additional Information Equal Opportunity Statement We seek candidates with a wide range of perspectives and backgrounds and we are proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. 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. If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us at accommodations@linkedin.com and describe the specific accommodation requested for a disability-related limitation. Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to: • Documents in alternate formats or read aloud to you • Having interviews in an accessible location • Being accompanied by a service dog • Having a sign language interpreter present for the interview A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response. 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. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information. San Francisco Fair Chance Ordinance ​ Pursuant to the San Francisco Fair Chance Ordinance, LinkedIn will consider for employment qualified applicants with arrest and conviction records. Pay Transparency Policy Statement ​ As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: https://lnkd.in/paytransparency. Global Data Privacy Notice for Job Candidates ​ 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.

Company Description 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. Job Description This role will be based in San Francisco, Mountain View, New York, or remote. At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. This role may be remote or hybrid. At LinkedIn, hybrid roles are performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team. Remote roles are performed from the designated home work location upon time of hire, and any changes to this home work location requires a review of remote status and approval. The Growth team is building a scalable contributor ecosystem that delivers high‑quality data annotation capacity quickly and reliably. We grow, engage, and mobilize a global community of pre‑vetted contributors and ensure right‑fit matching and onboarding to power mission‑critical AI/ML initiatives. As Program Manager, Growth, you will build and maintain a global pool of pre‑vetted annotation talent; drive proactive sourcing, referral, and engagement at scale; and ensure fast, accurate matching and onboarding within tight SLAs (often 24–72 hours). You’ll partner with Product to improve matching workflows and contributor visibility (skills, quality history), and you’ll instrument the funnel with high‑volume recruiting metrics to continuously optimize throughput and quality. Responsibilities • Build and maintain a global pool of pre‑vetted annotation talent across domains with targeted language and domain coverage. • Design and run proactive sourcing programs to keep contributor talent warm and ready. • Monitor expertise coverage maps to close gaps and reduce ramp latency across regions and time zones. • Scale responsibly; manage compliance, quality, and surge capacity using crowdsourcing best practices. • Vet and close annotation talent via interviews. • Accelerate talent onboarding to meet rapid launch SLAs (24–72 hours) with clear checklists for high Qualifications Basic Qualifications • 3+ years in Talent Acquisition/Recruiting, including high‑volume pipelines (contractor/crowd and/or global markets). • Demonstrated success sourcing and engaging specialized, large‑scale talent pools across multiple geographies/languages. • Hands‑on experience with ATS/CRM and LinkedIn Recruiter. Preferred Qualifications • Experience in growth/community building or marketplace operations; background with contributor/gig‑based ecosystems. • Familiarity with annotation/HITL operations is a plus. • Exposure to vendor/contractor management and rapid global scaling for data labeling programs. • Cross‑functional program management with product, engineering, and operations to deliver annotation data at scale. • Proficient in Spanish (verbal and written) Suggested Skills • Recruiting • Program Management • Executive Communication LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $114,000 to $187,000. 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. Additional Information Equal Opportunity Statement We seek candidates with a wide range of perspectives and backgrounds and we are proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. 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. If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us at accommodations@linkedin.com and describe the specific accommodation requested for a disability-related limitation. Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to: • Documents in alternate formats or read aloud to you • Having interviews in an accessible location • Being accompanied by a service dog • Having a sign language interpreter present for the interview A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response. 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. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information. San Francisco Fair Chance Ordinance ​ Pursuant to the San Francisco Fair Chance Ordinance, LinkedIn will consider for employment qualified applicants with arrest and conviction records. Pay Transparency Policy Statement ​ As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: https://lnkd.in/paytransparency. Global Data Privacy Notice for Job Candidates ​ 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.

Company Description 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. Job Description 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. We are looking for a Talent Solutions Account Executive to join our team in tapping into potential client opportunities and generating new business. You will be responsible for responding to inbound inquiries as well as blanketing your region with outbound activity. You will strategically approach target companies and teams, identify the best technology options and sell corporate solutions for recruitment. Although you strive to meet and exceed quota, you will always act in the best interest of the client. Responsibilities: • Prospect relentlessly to build pipeline and build strong personal relationships with prospects • Create reliable forecasts and be completely transparent with management on the pipeline status • Close new business consistently at or above quota level • Develop and execute on a strategic plan for the territory and document and distribute competitive information • Invest in colleagues and give coaching and advice when you see an opportunity for improvement • Work to develop and circulate the set of best practices that will be the foundation of this team • Listen to the needs of the market and share insights with product and marketing teams • Be proactive about solving problems even if it’s outside of your area and be ready to take on additional initiatives and responsibilities as they emerge • Seek out opportunities to be a leader and do everything you can to help the company achieve its larger objectives Qualifications Basic Qualifications: • 2+ years of applicable sales experience Preferred Qualifications: • Experience with recruiting, recruitment media and HR software • Experience with SaaS opportunities and Salesforce.com platform • Experience selling IT or recruiting solutions • Knowledge of software contract terms and conditions with the ability to create fair transactions • Strong negotiation and accurate forecasting skills • Demonstrated ability to find, manage and close high-level business in an evangelist sales environment • Ability to assess business opportunities and use data to inform decision making and persuade others • Ability to manage a large number of prospect situations simultaneously while positioning company products against direct and indirect competitors Suggested Skills: • Communication • Organization Skills • Goal Setting • Discovery Process • Deal Closure LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $106,000 to $152,000 OTE. 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. Additional Information Equal Opportunity Statement We seek candidates with a wide range of perspectives and backgrounds and we are proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. 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. If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us at accommodations@linkedin.com and describe the specific accommodation requested for a disability-related limitation. Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to: • Documents in alternate formats or read aloud to you • Having interviews in an accessible location • Being accompanied by a service dog • Having a sign language interpreter present for the interview A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response. 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. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information. San Francisco Fair Chance Ordinance ​ Pursuant to the San Francisco Fair Chance Ordinance, LinkedIn will consider for employment qualified applicants with arrest and conviction records. Pay Transparency Policy Statement ​ As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: https://lnkd.in/paytransparency. Global Data Privacy Notice for Job Candidates ​ 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.

Job Description

This role will be based in Atlanta, Bellevue, Chicago, Carpinteria, Detroit, New York City, Omaha, Sunnyvale, San Francisco, or Washington, D.C.

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 Compensation Operations and Excellence team is searching for a Sr. Manager, Compensation to join our team! The successful candidate for this position will drive the key strategic compensation initiatives across LinkedIn.  This individual will play a key role in implementing AI strategy for compensation programs.

Responsibilities: 

• Drive global AI strategy for compensation and benefits that creates efficiency and is scalable across all tools, dashboards, and systems. 
• Continually assess and stay ahead of the curve on the technology side
• Drive global pay equity and pay transparency programs including gender pay
• Lead data governance and compliance
• Lead compensation related projects and initiatives involving multiple stakeholders with significant strategic and financial impact 
• Leveraging cross functional partners and firm-wide resources to achieve desired outcomes efficiently and with consistency

Job Description

This role will be based in Atlanta, Bellevue, Chicago, Carpinteria, Detroit, New York City, Omaha, Sunnyvale, San Francisco, or Washington, D.C.

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 Compensation Operations and Excellence team is searching for a Sr. Manager, Compensation to join our team! The successful candidate for this position will drive the key strategic compensation initiatives across LinkedIn.  This individual will play a key role in implementing AI strategy for compensation programs.

Responsibilities: 

• Drive global AI strategy for compensation and benefits that creates efficiency and is scalable across all tools, dashboards, and systems. 
• Continually assess and stay ahead of the curve on the technology side
• Drive global pay equity and pay transparency programs including gender pay
• Lead data governance and compliance
• Lead compensation related projects and initiatives involving multiple stakeholders with significant strategic and financial impact 
• Leveraging cross functional partners and firm-wide resources to achieve desired outcomes efficiently and with consistency

Job Description

This role can be based in Bellevue, WA.

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.

This role is part of the Development infrastructure (DI) organization where you will get an opportunity to influence, transform, and create the next generation, agent centric, large scale, development infrastructure  at LinkedIn. We are a data driven organization and you will lead strategic investments to make step function improvements in the lives of LinkedIn developers. This spans multiple areas including but not limited to: Providing tools and infrastructure that creates delightful development experiences for thousands of developers; Provide the environments where agents write, build, test, and publish code;  Provide actionable insights that leverages data and metrics; and most importantly, deliver reliable and scalable infrastructure. You will have the opportunity to engage the industry-wide developer community and contribute to open-source software as well.

Responsibilities

• You will build and ship software at scale that delivers impact.

• You will improve all aspects of developer experience with a data driven mindset.

• You will design and build tools and frameworks to automate development, testing, deployment, management, monitoring, data gathering and analysis of our 24x7 services and products.

• You will develop and evangelize solutions to challenges faced by every product and infrastructure team at LinkedIn to improve developer happiness, productivity, and efficiency.

• You will scale the infrastructure and tools required to keep our 6000+ developers in step when they are all sharing the same code, building and testing our software stacks, and releasing and deploying their services continuously without compromising site reliability.

• You will provide technical leadership, driving and performing best engineering practices to initiate, plan, and execute critical, large-scale, cross-functional, and company-wide programs.

Job Description

This role will be based in Sunnyvale, San Francisco, Bellevue 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.

Responsibilities

• Work with BIG data, crunching millions of samples for statistical modeling, data mining, recommendation solutions
• Write production quality code and influence the next generation of LinkedIn's system
• Collaborate with 10+ machine learning engineers to deliver impact on LinkedIn newsfeed
• Build scalable AI innovations with foundation and infra partners

Job Description

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. This role will be based in Sunnyvale, CA.

The Generative AI (GenAI) Safety team sits at the heart of LinkedIn’s Responsible AI & Governance (RAI‑G) organization, with a mission to set the gold standard for AI safety across all AI applications company‑wide. We ensure that every generative AI product is developed and deployed responsibly, ethically, and securely. By combining rigorous governance with cutting‑edge ML research, we identify and mitigate risks such as bias, hallucination, misuse, and privacy leakage.

As both the AI Safety Research team and the central AI safety engineering function, we build safety guardrails, evaluation pipelines, and alignment techniques that enable safe innovation at scale. Our work is foundational to the company’s AI strategy and influences standards across the industry. We partner closely with Legal, Compliance, AI Infrastructure, and Product teams to embed safety into every stage of the AI lifecycle.

Responsibilities

• Drive GenAI Safety Strategy: Serve as the senior technical leader shaping the company’s generative AI safety direction. Define the roadmap for safety alignment research, model evaluation, and system‑level protections.

• Lead AI Safety Research & Innovation: Guide LinkedIn’s research agenda in alignment, robustness, and responsible model behaviors. Stay ahead of academic and industry advances, rapidly translating insights into practical, production‑ready solutions.

• Design Safety‑First Foundations: Provide architectural leadership for scalable safety systems—benchmarking, red‑teaming, content safety, privacy‑preserving training, and real‑time guardrails — ensuring they are reliable, performant, and deeply integrated into AI infrastructure.

• Deliver High‑Impact Solutions in Ambiguous Spaces: Tackle LinkedIn’s toughest ethical, regulatory, and risk‑driven problems. Bring clarity and direction in areas with evolving standards, ensuring the company ships safe GenAI experiences at speed.

• Liaison With Product Engineering: Partner closely with product engineering teams to stay current on emerging experiments, venture bets, and product innovations, ensuring safety research and tooling anticipate and support the next wave of product development.

• Cross‑Functional Leadership: Collaborate with Legal, Compliance, Privacy, Infra, and Policy teams to operationalize safety requirements, translate regulatory guidance into technical specifications, and ensure end‑to‑end alignment across disciplines.

• Technical Mentorship: Mentor and grow a team of ~15 engineers across research, ML, and systems. Elevate engineering rigor, drive high bar execution, and nurture future technical leaders in AI safety.

• Company‑Wide Impact: Ensure safety techniques, tools, and evaluations are deployed across all GenAI products, safeguarding member trust while enabling safe, scalable innovation.

Job Description

This role will be based in Sunnyvale, San Francisco, Bellevue 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.

As a Staff Engineer at LinkedIn, you will be responsible for the development and training of cutting-edge machine learning models and algorithms that can effectively leverage our members' platform activities and industry trends to create personalized recommendations that are delivered to our members at the optimal moment.

Responsibilities

• Work with BIG data, crunching millions of samples for statistical modeling, data mining, recommendation solutions
• Write production quality code and influence the next generation of LinkedIn's system
• Collaborate with 10+ machine learning engineers to deliver impact on LinkedIn newsfeed
• Build scalable AI innovations with foundation and infra partners