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Software Engineer I

Role overview

Qualifications

  • 0-1 years of deep learning experience working with codebases supporting cutting-edge AI/ML models
  • Proficiency in ML Development: Experience developing machine learning algorithms or infrastructure in Python/PyTorch and/or C/C++
  • Bachelor Degree in Computer Science, Computer Engineering or relevant Technical field

Responsibilities

  • Engineer, design, implement, and improve cutting-edge machine learning systems and tools for enabling research
  • Apply knowledge of relevant research domains, along with expert coding skills, to platform and framework development projects
  • Write clean and robust machine learning code

Key facts

Hard skills

About the company

Mindlance logo

Mindlance

Staffing & Recruiting

Founded in 1999, Mindlance is one of the largest diversity-owned staffing firms in the US and has been on SIA’s list of Fastest Growing US Staffing Firms for 10 years. Mindlance has also been recognized as one of the consistently best performing partners to industry-leading MSP programs including Allegis, Kelly, TAPFIN, PROUnlimited, Pontoon, GRI, WorkforceLogiq and Agile-1.What started with contingent staffing has developed to a comprehensive portfolio of workforce solutions. Along with industry specific, talent-centric staffing across a range of specializations- Technology, Engineering, Scientific, Clinical Research, Digital, Creative, Marketing, Profession, Mindlance provides Managed Recruitment services- RPO and Direct + Diverse Sourcing, and Pay+ Services- EoR/Payroll, IC Compliance and AoR.Mindlance is also generating alternative talent pipelines that prioritize diversity through three Diverse Talent Acceleration offerings: (1) RebootTalent, a diverse returning talent acceleration service (2) Mindlance Diversphere, a private diverse talent pool aggregated from a network of diversity partnerships and (3) Quintrix Solutions, an upskilling recruit-train-deploy service.With a year-over-year growth rate of 20% and an annual revenue of over $400 million and growing, the Mindlance story is one of calculable achievement, made meaningful by the commitment to grow a mindful way that creates balance in the work and societal ecosystem.Visit www.mindlance.com to learn more about us and our latest job openings.STAFFING INDUSTRY ANALYSTS RECOGNITIONS:Fastest Growing U.S. Staffing Firms (2022, 2021, 2019, 2018, 2017, 2016, 2015, 2014, 2013, 2012, 2011)Largest U.S. Staffing Firms (2022, 2021, 2020, 2019, 2018, 2017, 2016, 2015)Largest Diversity-Owned U.S. Staffing Firms (2022, 2021, 2020, 2019, 2018, 2017, 2016, 2015)Largest IT Staffing Firms (2022, 2021, 2020, 2019, 2018, 2017)Largest Clinical & Scientific Staffing Firms (2022, 2021, 2020, 2019, 2018, 2017)

Company details

Company typeLarge
IndustryStaffing & Recruiting
Company size1001 - 5000

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Job description

Summary:
System / Machine Learning Engineer to join our Fundamental AI Research (FAIR) team, an organization focused on making research breakthroughs in AI.

Responsibilities include working with deep learning codebases that support training cutting-edge AI/ML models creating high quality results, and bringing the latest research advancements to Meta products for connecting billions of users.

The chosen candidate will work with a diverse and highly interdisciplinary team of scientists, engineers, and cross-functional partners, and will have access to cutting edge technology, resources, and research facilities.

Key Projects / Day-to-Day Responsibilities
* Engineer, design, implement, and improve cutting-edge machine learning systems and tools for enabling research
* Apply knowledge of relevant research domains, along with expert coding skills, to platform and framework development projects
* Write clean and robust machine learning code

Must Have Skills
* 0-1 years of deep learning experience working with codebases supporting cutting-edge AI/ML models.
* Proficiency in ML Development: Experience developing machine learning algorithms or infrastructure in Python/PyTorch and/or C/C++.
* Core Education: Degree in Computer Science, Computer Engineering, or a relevant technical field.

Nice to Have Skills
* Demonstrated Software Engineering Track Record: Proven experience via professional work, coding competitions, or widely used open-source/GitHub contributions.

Education
* Bachelor Degree in Computer Science, Computer Engineering or relevant Technical field is required.
* PHD or advanced degree preferred

** Seeking highly motivated candidates who are straight out of college with an of ML related degree. Hiring team does not want to see candidates with more than 1 year of experience.

** In this case, please do not include cover pages or supplier summaries. The hiring team would strictly like to see the candidate's resume and a 2-3 line candidate-written paragraph explaining a ML project that they've worked on. Do not exceed 2-3 lines or include additional recruiter summaries.

** Remote - EST is ideal, but not required

EEO:
“Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of – Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.”

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MR

Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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