Saarthee

Talent Acquisition Executive

Niantic

Computer Vision Software Engineer, London

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Niantic's AR Mapping team seeks a Computer Vision Software Engineer to build 3D world maps for their real-world Metaverse.  Responsibilities include designing, developing, and maintaining production computer vision systems to enhance AR capabilities, collaborating with cross-functional teams to deliver solutions, optimizing system complexity and time, writing high-performance code, and working with the research team to innovate in AR. The role involves working on solutions that will be used by millions.  The ideal candidate will have a Master's degree (or equivalent) in a related field and experience in production code (C++), computer vision, and machine learning.  In-office work is required two days a week (Tuesdays and Thursdays).

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<div class="job__description body"><div>Niantic’s Augmented Reality (AR) Mapping team seeks a Computer Vision Software Engineer to help build the 3D world maps that are the foundation for Niantic’s real world Metaverse and push the frontiers of Computer Vision and Machine Learning.
We are building the VPS and visual maps that help develop AR experiences to “inspire people to explore the world together”.
We’re a highly collaborative and engaging team, working to help algorithms evolve from concept to production at scale, and this is your chance to join us in our journey to map the world. We are all passionate about innovation, so we’re looking for engineers who want to learn and ship products that will be used by millions of developers and users.
<h3>Responsibilities</h3>
<ul>
<li>Design, develop and maintain production computer vision systems that are used to improve Niantic’s AR capabilities for the delight of our users.</li>
<li>Collaborate multi-functionally with products, operations and other engineering teams to ship state-of-the art computer vision solutions to enable new AR experiences.</li>
<li>Optimize complexity and time of solutions to make the best use of current technologies in cloud and/or mobile.</li>
<li>Write high performance code, debug solutions to complex problems that span systems, prioritize tasks effectively, and efficiently to meet agreed timelines.</li>
<li>Work with Niantic’s research team to invent, evaluate and help productionise solutions to push the boundaries of what can be done today in AR.</li>
<li>Collaborate with cross-functional team members and stakeholders, including regular and reliable attendance and participation in meetings.</li>
<li>Required in-office 2 days on Tuesday and Thursday.</li>
</ul>
<h3>Qualifications</h3>
<ul>
<li>Master-level qualification in Computer Science, Electrical Engineering, or a related field, or equivalent practical experience.</li>
<li>Experience writing production code in C++.</li>
<li>Solid understanding of computer vision, machine learning or similar concepts.</li>
<li>Ability to work in a fast-paced hybrid environment and handle stress appropriately and/or ability to solve practical problems and be sufficiently adaptable to handle dynamic situations with little advance notice.&nbsp;</li>
<li>Experience working on cross-functional teams with ability to communicate effectively through written and verbal communications, including asynchronous interactions with others.</li>
</ul>
<h3>Plus If…</h3>
<ul>
<li>PhD-level qualification in Computer Science, Electrical Engineering, mathematics, or a related field, or equivalent practical experience.</li>
<li>Demonstrated ability developing algorithms for image processing, computer vision or similar endeavors.</li>
<li>Experience implementing, hardening or optimizing 3d gaussian splatting, dense depth computation, multi-view reconstruction or other problems in 3D computer vision.</li>
</ul>
The total compensation package for this position includes a new hire offer base salary range of £87,300.00-£126,000.00 + bonus + equity + benefits.
Individual pay within this salary range is determined by work location and additional factors, including assessed job-related skills, experience, and relevant education or training. Your recruiter can answer any questions about new hire total compensation during the hiring process. An overview of benefit offerings for your location can be found on the careers page.
<h3>Join the Niantic team!</h3>
Niantic's global-scale augmented reality platform and digital map powers spatial computing experiences in the real world. Incubated out of the Maps team at Google, Niantic first created Ingress and then Pokémon GO, a cultural phenomenon and hit game played by tens of millions of people each month. Niantic’s Lightship platform, which powers Pokémon GO, also supports the company's other games including Pikmin Bloom, Peridot and Monster Hunter Now. Developers use Niantic’s platform to build their own AR applications and experiences, either with the Lightship Platform or directly through the web with 8th Wall.
We believe that cultivating a workplace where our people are supported and included is essential to creating great products our community will love. Our mission emphasizes seeking and hiring diverse voices, including those who are traditionally underrepresented in the technology industry, and we consider this to be one of the most important values we hold close.
Niantic is a hybrid first company. We believe that in person interaction and collaboration fosters creativity, a sense of community, and is critical to our future success as a company. Our hybrid work schedules allow for a mix of remote and in-office work.
We're a hard-working, fun, and exciting group who value intellectual curiosity and a passion for problem-solving! We have growing offices located in San Francisco, Sunnyvale, Palo Alto, Bellevue, Kansas, London, Tokyo, Hamburg, Hyderabad, and Zurich. #LI-HYBRID</div></div>

Saarthee seeks a skilled Talent Acquisition Executive with 3+ years of experience recruiting for Data Engineering, Data Science, and Data Analytics roles. Expertise in Python, Java, Scala, Hadoop, Spark, AWS, Azure, GCP, and ETL is essential. Strong leadership and analytical skills are needed to build a robust pipeline of top talent.

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 About the job
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 About Saarthee:Saarthee is a global data, analytics , technology and consulting firm unlike any other, where our passion for helping others fuels our approach and our products and solutions. We are a one-stop shop for all things data and analytics. Unlike other analytics consulting firms that are technology or platform specific, Saarthee’s holistic and tool agnostic approach along with ability delivery strategic actionable insights is unique in the marketplace. Our Analytics Value Chain framework meets our customers where they are in their data journey. Our diverse and global team of skilled data engineers, data analysts, and data scientists work with one objective in mind: Our Customers’ Success. At Saarthee, we are passionate about guiding organizations towards insights-fueled success. That’s why we call ourselves Saarthee–inspired by the Sanskrit ‘Saarthi’, which means charioteer, trusted guide, or companion. Co-founded in 2015 by Mrinal Prasad and Shikha Miglani, Saarthee already encompasses all the components of Data Analytics consulting. Saarthee is based out of Philadelphia, USA with office in UK and India - Gurgaon and Bangalore. Key Responsibilities: <ul><li>Technical Talent Acquisition: Lead the end-to-end recruitment process for roles in Data Engineering, Data Science, and Data Analytics, including software engineers, data scientists, machine learning engineers, and data architects. Utilize your technical expertise to assess candidates' proficiency in programming languages (Python, Java, Scala), data pipelines (ETL, Kafka), cloud platforms (AWS, Azure, GCP), and big data technologies (Hadoop, Spark).</li><li>Technical Screening &amp; Assessment: Design and implement rigorous technical assessment processes, including coding tests, algorithm challenges, and system design interviews, to ensure candidates meet the high technical standards required for our projects.</li><li>Stakeholder Collaboration: Partner with CTO, Engineering Leads, and Data Science teams to understand the specific technical requirements of each role. Translate these needs into effective job descriptions, recruitment strategies, and candidate evaluation criteria.</li><li>Pipeline Development: Build and maintain a robust pipeline of highly qualified candidates by leveraging networks, industry events, online platforms (GitHub, Stack Overflow), and advanced sourcing techniques such as Boolean search, AI-driven talent matching, and targeted outreach.</li><li>Industry Expertise: Stay current with trends in Data Engineering, Data Science, and Analytics, including advancements in AI/ML, data warehousing (Snowflake, Redshift), real-time analytics, and DevOps practices. Use this knowledge to proactively identify and engage with potential candidates who are at the forefront of these fields.</li><li>Diversity &amp; Inclusion in Tech: Implement strategies to ensure diverse and inclusive hiring practices, focusing on underrepresented groups in technology. Develop partnerships with organizations and communities that support diversity in tech.</li><li>Talent Development &amp; Retention: Work with technical leadership to create clear career pathways for data and engineering professionals within the company. Support ongoing training and development initiatives to keep teams updated with the latest technologies and methodologies.</li></ul>
 Qualifications: <ul><li>Experience: 3+ years in Talent Acquisition, with significant experience recruiting for Data Engineering, Data Science, Data Analytics, and Technology roles in high-growth or technically complex environments.</li><li>Technical Knowledge: Strong background in the technologies and tools used in Data Engineering, Data Science, and Data Analytics, including but not limited to:</li><li>Programming languages: Python, R, Java, Scala</li><li>Big Data technologies: Hadoop, Spark, Kafka</li><li>Cloud platforms: AWS, Azure, GCP</li><li>Data processing: ETL, data pipelines, real-time streaming</li><li>Analytics and BI tools: Tableau, Power BI, Looker</li><li>Leadership: Proven experience in leading talent acquisition teams with a focus on technical roles, driving strategies that result in successful, high-impact hires.</li><li>Analytical &amp; Data-Driven: Expertise in using data to guide recruitment decisions and strategies, including metrics on sourcing, pipeline health, and hiring efficiency.</li><li>Communication: Excellent ability to communicate complex technical requirements to both technical and non-technical stakeholders.</li><li>Commitment to Excellence: A relentless focus on quality, with a keen eye for identifying top technical talent who can thrive in challenging, innovative environments.</li></ul>
 Soft Skills: • Problem-Solving: Strong analytical and troubleshooting skills.• Collaboration: Excellent teamwork and communication skills to work effectively with cross-functional teams.• Adaptability: Ability to manage multiple tasks and projects in a fast-paced environment.• Attention to Detail: Precision in diagnosing and fixing issues.• Continuous Learning: A proactive attitude towards learning new technologies and improving existing skills What we Offer: <ul><li>Bootstrapped and financially stable with high pre-money evaluation.</li><li>Above industry renumerations</li><li>Additional compensation tied to Renewal, business development and Pilot Project Execution</li><li>Chance to work closely with industry experts driving strategy with data and analytics.</li><li>Firm building opportunities that offer stage for holistic professional development, growth, and branding</li><li>Empathetic and result driven organization. Believes in mentoring and growing a team with constant emphasis on learning.</li></ul>

 
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