Applied Research Engineer JS7

Applied Research EngineerLocation: US RemoteEricsson Digital Human is looking for an Applied Research Engineer to help build the future of connected, human experiences.Our team is chartered to innovate, adapt quickly, and craft the future for Ericsson. In other words, we have the best of both worlds: the energy of a startup and the impact of a global leader.Ericsson Digital Human has recently graduated from Ericsson's internal venture arm (Ericsson ONE) and is now coming out of stealth. The Digital Human team plans to use Ericsson's worldwide scale to launch ground-breaking products supercharging the connections of today with the technologies of tomorrow.Our first family of products aim to seamlessly enhance voice and video with the magic of AI (e.g., deep video dubbing, super resolution, neural compression). Much of our work sits at the intersection of deep learning, computer vision, computer graphics and XR (VR/AR), as we iterate towards a long-term vision of photorealistic immersion and teleportation in the metaverse.We are looking for people who have a start-up mentality; people who are creative, passionate, inventive, and capable of helping us launch this innovative business globally. Join us for the adventure of a lifetime.What You Will DoWork to implement and improve novel deep generative modeling, deep audio modeling, deep and traditional computer vision algorithms pushing the boundaries of digital human technologiesWork closely with product teams to optimize and transfer technology for real-time application in resource-constrained settingsCollaborate with researchers and engineers from other domains on the digital human platform team (e.g. 3D graphics, cloud infrastructure) to develop and deploy end-to-end systems democratizing digital humans at world scaleYou Will Bring3+ years of hands-on experience implementing machine learning and deep learning algorithms and systemsExperience collaborating with research teams to drive cutting-edge research from prototype to productionExperience prepping and training with custom datasets.Experience training models with large datasetsExtensive knowledge of neural networksExtensive experience carrying out large-scale neural architecture and hyperparameter searchesExperience with deep learning frameworks, such as PyTorchComfortable operating with on-prem or custom machine learning infrastructureExperience optimizing GPU-based machine learning for real-time applications and resource-constrained devicesM.S. in relevant technical fieldPreferred QualificationsExperience deploying distributed systems at scale (hundreds to thousands of nodes)Experience with the 3D graphics pipelineExperience developing and deploying real-time, multi-threaded software in C++ or similarExperience with CUDAPh.D. in relevant technical fieldWhy Join Ericsson?At Ericsson, you´ll have an outstanding opportunity. The chance to use your skills and imagination to push the boundaries of what´s possible. To build never seen before solutions to some of the world's toughest problems. You´ll be challenged, but you won't be alone. You´ll be joining a team of diverse innovators, all driven to go beyond the status quo to craft what comes next.Compensation and Benefits at Ericsson:At Ericsson, we know that our people are the key to our success. We offer a competitive compensation and benefits package to help with your individual needs and goals.Your Pay:California: $144,700-$237,200Washington, New York, and New Jersey: $144,700-$217kAll other US locations: $134k-$201kYour pay also includes the opportunity for an annual bonus. Actual bonus payouts are based on performance of the business against the unit's objectives, individual performance, and the individual bonus target. Certain eligibility and pro-ration rules apply.Your Health:Ericsson offers excellent health benefits including the choice of 3 medical plan options, 2 of which are PPO plans requiring employee contributions to the cost of premiums, and a High Deductible Health Plan (HDHP) with no premiums for employees and dependents. In addition, Ericsson offers free dental coverage, employee paid vision coverage, and other company paid physical wellness programs.Your Financial Security:We invest in both your short and long-term financial wellbeing. Ericsson's 401(k) plan offers an automatic 3% company contribution and up to a 4% company match, leading to a maximum company contribution of 7% annually. Employees will also receive company paid basic life and accidental death and dismemberment coverage and paid company short-term and long-term disability benefits. Employees also have the option to participate in Ericsson's Stock Purchase Plan.Your Time:Your work-life balance is important to us. New employees are provided up to 40 days of paid time off per year, including 15 days of accrued annual vacation, 3 personal days, 11 paid holidays, 10 sick days, and 1 volunteer day. Please note paid time off is pro-rated based on the employee's start date. Those with additional vacation time at the end of the year may sell one week of vacation, equal to a week of pay. Furthermore, Ericsson provides up to 16 weeks of maternity/medical leave, 6 weeks of paternity or adoption leave at 100% of pay, and medical leave at 100% or 66 2/3% of pay, based on length of service.Additional Benefits:Ericsson offers many other company-paid benefits such as financial wellness programs, educational assistance, adoption assistance, matching gifts, and recognition programs.Encouraging a diverse and inclusive organization is core to our values at Ericsson, that's why we nurture it in everything we do. We truly believe that by collaborating with people with different experiences we drive innovation, which is essential for our future growth. We encourage people from all backgrounds to apply and realize their full potential as part of our Ericsson team. Ericsson is proud to be an Equal Opportunity and Affirmative Action employer, learn more. If you need assistance or to request an accommodation due to a disability, please contact Ericsson at View email address on click.appcast.io